\nJoin SADA India as a Senior Data Engineer, Enterprise Support service!\n\nYour Mission \n\nAs a Sr. Data Engineer on the Enterprise Support service team at SADA, you will reduce customer anxiety about running production workloads in the cloud by implementing and iteratively improving observability and reliability. You will have the opportunity to engage with our customers in a meaningful way by defining, measuring, and improving key business metrics; eliminating toil through automation; inspecting code, design, implementation, and operational procedures; enabling experimentation by helping create a culture of ownership; and winning customer trust through education, skill sharing, and implementing recommendations. Your efforts will accelerate our customers’ cloud adoption journey and we will be with them through the transformation of their applications, infrastructure, and internal processes. You will be part of a new social contract between customers and service providers that demands shared responsibility and accountability: our partnership with our customers will ensure we are working towards a common goal and share a common fate.\n\nThis is primarily a customer-facing role. You will also work closely with SADA’s Customer Experience team to execute their recommendations to our customers, and with Professional Services on large projects that require PMO support.\n\nPathway to Success \n\n#MakeThemRave is at the foundation of all our engineering. Our motivation is to provide customers with an exceptional experience in migrating, developing, modernizing, and operationalizing their systems in the Google Cloud Platform.\n\nYour success starts by positively impacting the direction of a fast-growing practice with vision and passion. You will be measured bi-yearly by the breadth, magnitude, and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions.\n\nAs you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks.\n\nExpectations\n\nCustomer Facing - You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly. Common touchpoints occur when qualifying potential opportunities, at project kickoff, throughout the engagement as progress is communicated, and at project close. You can expect to interact with a range of customer stakeholders, including engineers, technical project managers, and executives.\n\nOnboarding/Training - The first several weeks of onboarding are dedicated to learning and will encompass learning materials/assignments and compliance training, as well as meetings with relevant individuals.\n\nJob Requirements\n\nRequired Credentials:\n\n\n* Google Professional Data Engineer Certified or able to complete within the first 45 days of employment \n\n* A secondary Google Cloud certification in any other specialization\n\n\n\n\nRequired Qualifications: \n\n\n* 4+ years of experience in Cloud support\n\n* Experience in supporting customers preferably in 24/7 environments\n\n* Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer, etc)\n\n* Experience writing software in at least two or more languages such as Python, Java, Scala, or Go\n\n* Experience in building production-grade data solutions (relational and NoSQL)\n\n* Experience with systems monitoring/alerting, capacity planning, and performance tuning\n\n* Experience with BI tools like Tableau, Looker, etc will be an advantage\n\n* Consultative mindset that delights the customer by building good rapport with them to fully understand their requirements and provide accurate solutions\n\n\n\n\nUseful Qualifications:\n\n\n* \n\n\n* Mastery in at least one of the following domain areas:\n\n\n\n\n\n* \n\n\n* Google Cloud DataFlow: building batch/streaming ETL pipelines with frameworks such as Apache Beam or Google Cloud DataFlow and working with messaging systems like Pub/Sub, Kafka, and RabbitMQ; Auto scaling DataFlow clusters, troubleshooting cluster operation issues\n\n* Data Integration Tools: building data pipelines using modern data integration tools such as Fivetran, Striim, Data Fusion, etc. Must have hands-on experience configuring and integrating with multiple Data Sources within and outside of Google Cloud\n\n* Large Enterprise Migration: migrating entire cloud or on-prem assets to Google Cloud including Data Lakes, Data Warehouses, Databases, Business Intelligence, Jobs, etc. Provide consultations for optimizing cost, defining methodology, and coming up with a plan to execute the migration.\n\n\n\n\n\n\n\n\n\n* Experience with IoT architectures and building real-time data streaming pipelines\n\n* Experience operationalizing machine learning models on large datasets\n\n* Demonstrated leadership and self-direction -- a willingness to teach others and learn new techniques\n\n* Demonstrated skills in selecting the right statistical tools given a data analysis problem\n\n* Understanding of Chaos Engineering\n\n* Understanding of PCI, SOC2, and HIPAA compliance standards\n\n* Understanding of the principle of least privilege and security best practices\n\n* Understanding of cryptocurrency and blockchain technology\n\n\n\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nThiruvananthapuram, Kerala, India

The Team\n\nAcross our work in Science, Education, and within our communities, we pair technology with grantmaking, impact investing, and collaboration to help accelerate the pace of progress toward our mission. Our Central team provides the support needed to push this work forward. \n\nThe Central team at CZI consists of our Finance, People & DEI, Real Estate, Events, Workplace, Facilities, Security, Brand & Communications, Business Systems, Central Operations, Strategic Initiatives, and Ventures teams. These teams provide strategic support and operational excellence across the board at CZI.\nThe Opportunity\n\nBy pairing engineers with leaders in our science and education teams, we can bring AI/ML technology to the table in new ways to help drive solutions. We are uniquely positioned to design, build, and scale software systems to help educators, scientists, and policy experts better address the myriad challenges they face. Our technology team is already helping schools bring personalized learning tools to teachers and schools across the country. We are also supporting scientists around the world as they develop a comprehensive reference atlas of all cells in the human body, and are developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences. \n\nThe AI/ML and Data Engineering Infrastructure organization works on building shared tools and platforms to be used across all of the Chan Zuckerberg Initiative, partnering and supporting the work of a wide range of Research Scientists, Data Scientists, AI Research Scientists, as well as a broad range of Engineers focusing on Education and Science domain problems. Members of the shared infrastructure engineering team have an impact on all of CZI's initiatives by enabling the technology solutions used by other engineering teams at CZI to scale. A person in this role will build these technology solutions and help to cultivate a culture of shared best practices and knowledge around core engineering.\nWhat You'll Do\n\n\n* Participate in the  technical design and building of efficient, stable, performant, scalable and secure AI/ML and Data infrastructure engineering solutions.\n\n* Active hands-on coding working on our Deep Learning and Machine Learning models\n\n* Design and implement complex systems integrating with our large scale AI/ML GPU compute infrastructure and platform, making working across multiple clouds easier and convenient for our Research Engineers, ML Engineers, and Data Scientists. \n\n* Use your solid experience and skills in building containerized applications and infrastructure using Kubernetes in support of our large scale GPU Research cluster as well as working on our various heterogeneous and distributed AI/ML environments.  \n\n* Collaborate with other team members in the design and build of our Cloud based AI/ML platform solutions, which includes Databricks Spark, Weaviate Vector Databases, and supporting our hosted Cloud GPU Compute services running containerized PyTorch on large scale Kubernetes.\n\n* Collaborate with our partners on data management solutions in our heterogeneous collection of complex datasets.\n\n* Help build tooling that makes optimal use of our shared infrastructure in empowering  our AI/ML efforts with world class GPU Compute Cluster and other compute environments such as our AWS based services.\n\n\n\nWhat You'll Bring\n\n\n* BS or MS degree in Computer Science or a related technical discipline or equivalent experience\n\n* 5+ years of relevant coding experience\n\n* 3+ years of systems Architecture and Design experience, with a broad range of experience across Data, AI/ML, Core Infrastructure, and Security Engineering\n\n* Scaling containerized applications  on Kubernetes or Mesos, including expertise  with creating custom containers using secure AMIs and continuous deployment systems that integrate with Kubernetes or Mesos. (Kubernetes preferred)\n\n* Proficiency with Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, and experience with On-Prem and Colocation Service hosting environments\n\n* Proven coding ability with a systems language such as Rust,C/ C++, C#, Go, Java, or Scala\n\n* Shown ability with a scripting language such as Python, PHP, or Ruby\n\n* AI/ML Platform Operations experience in an environment with challenging data and systems platform challenges - including large scale Kafka and Spark deployments (or their coralaries such as Pulsar, Flink, and/or Ray) as well as Workflow scheduling tools such as Apache Airflow, Dagster, or Apache Beam  \n\n* MLOps experience working with medium to large scale GPU clusters in Kubernetes (Kubeflow),  HPC environments, or large scale Cloud based ML deployments\n\n* Working knowledge of Nvidia CUDA and AI/ML custom libraries.  \n\n* Knowledge of Linux systems optimization and administration\n\n* Understanding of Data Engineering, Data Governance, Data Infrastructure, and AI/ML execution platforms.\n\n* PyTorch, Karas, or Tensorflow  experience a strong nice to have\n\n* HPC with and Slurm experience a strong nice to have\n\n\n\nCompensation\n\nThe Redwood City, CA base pay range for this role is $190,000 - $285,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.\nBenefits for the Whole You \n\nWe’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. \n\n\n* CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.\n\n* Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.\n\n* CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.\n\n* Paid time off to volunteer at an organization of your choice. \n\n* Funding for select family-forming benefits. \n\n* Relocation support for employees who need assistance moving to the Bay Area\n\n* And more!\n\n\n\nCommitment to Diversity\n\nWe believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued. Learn about our diversity, equity, and inclusion efforts. \n\nIf you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.\n\nExplore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.\n\n#LI-Remote  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Amazon, Recruiter, Cloud, Senior and Engineer jobs that are similar:\n\n $42,500 — $82,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRedwood City, California, United States

\nCAPCO POLAND \n\n*We are looking for Poland based candidate. The job is remote but may require some business trips.\n\nJoining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.\n\nCapco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry.\n\nWe also are experts in      focused on development, automation, innovation, and long-term projects in financial services. In Capco, you can code, write, create, and live at your maximum capabilities without getting dull, tired, or foggy.\n\nWe're seeking a skilled Mid Big Data Engineer to join our Team. The ideal candidate will be responsible for designing, implementing and maintaining scalable data pipelines and solutions on on-prem / migration / cloud projects for large scale data processing and analytics.\n\n \n\nTHINGS YOU WILL DO\n\n\n* Design, develop and maintain robust data pipelines using Scala or Python, Spark, Hadoop, SQL for batch and streaming data processing\n\n* Collaborate with cross-functional teams to understand data requirements and design efficient solutions that meet business needs \n\n* Optimize Spark jobs and data processing workflows for performance, scalability and reliability\n\n* Ensure data quality, integrity and security throughout the data lifecycle\n\n* Troubleshoot and resolve data pipeline issues in a timely manner to minimize downtime and impact on business operations\n\n* Stay updated on industry best practices, emerging technologies, and trends in big data processing and analytics\n\n* Document, design specifications, deployment procedures and operational guidelines for data pipelines and systems\n\n* Provide technical guidance and mentorship for new joiners\n\n\n\n\n \n\nTECH STACK: Python or Scala, OOP, Spark, SQL, Hadoop\n\nNice to have: GCP, Pub/Sub, Big Query, Kafka, Juniper, Apache NiFi, Hive, Impala, Cloudera, CI/CD\n\n \n\nSKILLS & EXPERIENCES YOU NEED TO GET THE JOB DONE\n\n\n* min. 3-4 years of experience as a Data Engineer/Big Data Engineer\n\n* University degree in computer science, mathematics, natural sciences, or similar field and relevant working experience\n\n* Excellent SQL skills, including advanced concepts\n\n* Very good programming skills in Python or Scala\n\n* Experience in Spark and Hadoop\n\n* Experience in OOP\n\n* Experience using agile frameworks like Scrum\n\n* Interest in financial services and markets\n\n* Nice to have: experience or knowledge with GCP \n\n* Fluent English communication and presentation skills\n\n* Sense of humor and positive attitude\n\n\n\n\n \n\nWHY JOIN CAPCO?\n\n\n* Employment contract and/or Business to Business - whichever you prefer\n\n* Possibility to work remotely\n\n* Speaking English on daily basis, mainly in contact with foreign stakeholders and peers\n\n* Multiple employee benefits packages (MyBenefit Cafeteria, private medical care, life-insurance)\n\n* Access to 3.000+ Business Courses Platform (Udemy)\n\n* Access to required IT equipment\n\n* Paid Referral Program\n\n* Participation in charity events e.g. Szlachetna Paczka\n\n* Ongoing learning opportunities to help you acquire new skills or deepen existing expertise\n\n* Being part of the core squad focused on the growth of the Polish business unit\n\n* A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients\n\n* A work culture focused on innovation and creating lasting value for our clients and employees\n\n\n\n\n \n\nONLINE RECRUITMENT PROCESS STEPS*\n\n\n* Screening call with the Recruiter\n\n* Technical interview: first stage\n\n* Client Interview\n\n* Feedback/Offer\n\n\n\n\n*The recruitment process may be modified \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Recruiter, Cloud, Senior and Engineer jobs that are similar:\n\n $57,500 — $92,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nKraków, Lesser Poland Voivodeship, Poland

\nJoin SADA India as a Senior Data Engineer!\n\nYour Mission \n\nAs a Sr. Data Engineer on the Enterprise Support service team at SADA, you will reduce customer anxiety about running production workloads in the cloud by implementing and iteratively improving observability and reliability. You will have the opportunity to engage with our customers in a meaningful way by defining, measuring, and improving key business metrics; eliminating toil through automation; inspecting code, design, implementation, and operational procedures; enabling experimentation by helping create a culture of ownership; and winning customer trust through education, skill sharing, and implementing recommendations. Your efforts will accelerate our customers’ cloud adoption journey and we will be with them through the transformation of their applications, infrastructure, and internal processes. You will be part of a new social contract between customers and service providers that demands shared responsibility and accountability: our partnership with our customers will ensure we are working towards a common goal and share a common fate.\n\nThis is primarily a customer-facing role. You will also work closely with SADA’s Customer Experience team to execute their recommendations to our customers, and with Professional Services on large projects that require PMO support.\n\nPathway to Success \n\n#MakeThemRave is at the foundation of all our engineering. Our motivation is to provide customers with an exceptional experience in migrating, developing, modernizing, and operationalizing their systems in the Google Cloud Platform.\n\nYour success starts by positively impacting the direction of a fast-growing practice with vision and passion. You will be measured bi-yearly by the breadth, magnitude, and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions.\n\nAs you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks.\n\nExpectations\n\nCustomer Facing - You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly. Common touchpoints occur when qualifying potential opportunities, at project kickoff, throughout the engagement as progress is communicated, and at project close. You can expect to interact with a range of customer stakeholders, including engineers, technical project managers, and executives.\n\nOnboarding/Training - The first several weeks of onboarding are dedicated to learning and will encompass learning materials/assignments and compliance training, as well as meetings with relevant individuals.\n\nJob Requirements\n\nRequired Credentials:\n\n\n* Google Professional Data Engineer Certified or able to complete within the first 45 days of employment \n\n* A secondary Google Cloud certification in any other specialization\n\n\n\n\nRequired Qualifications: \n\n\n* 5+ years of experience in Cloud support\n\n* Experience in supporting customers preferably in 24/7 environments\n\n* Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer, etc)\n\n* Experience writing software in at least two or more languages such as Python, Java, Scala, or Go\n\n* Experience in building production-grade data solutions (relational and NoSQL)\n\n* Experience with systems monitoring/alerting, capacity planning, and performance tuning\n\n* Experience with BI tools like Tableau, Looker, etc will be an advantage\n\n* Consultative mindset that delights the customer by building good rapport with them to fully understand their requirements and provide accurate solutions\n\n\n\n\nUseful Qualifications:\n\n\n* \n\n\n* Mastery in at least one of the following domain areas:\n\n\n\n\n\n* \n\n\n* Google Cloud DataFlow: building batch/streaming ETL pipelines with frameworks such as Apache Beam or Google Cloud DataFlow and working with messaging systems like Pub/Sub, Kafka, and RabbitMQ; Auto scaling DataFlow clusters, troubleshooting cluster operation issues\n\n* Data Integration Tools: building data pipelines using modern data integration tools such as Fivetran, Striim, Data Fusion, etc. Must have hands-on experience configuring and integrating with multiple Data Sources within and outside of Google Cloud\n\n* Large Enterprise Migration: migrating entire cloud or on-prem assets to Google Cloud including Data Lakes, Data Warehouses, Databases, Business Intelligence, Jobs, etc. Provide consultations for optimizing cost, defining methodology, and coming up with a plan to execute the migration.\n\n\n\n\n\n\n\n\n\n* Experience with IoT architectures and building real-time data streaming pipelines\n\n* Experience operationalizing machine learning models on large datasets\n\n* Demonstrated leadership and self-direction -- a willingness to teach others and learn new techniques\n\n* Demonstrated skills in selecting the right statistical tools given a data analysis problem\n\n* Understanding of Chaos Engineering\n\n* Understanding of PCI, SOC2, and HIPAA compliance standards\n\n* Understanding of the principle of least privilege and security best practices\n\n* Understanding of cryptocurrency and blockchain technology\n\n\n\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nThiruvananthapuram, Kerala, India

\nABOUT THRIVE MARKET \n\n\nThrive Market was founded in 2014 with a mission to make healthy living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,000,000+ members find better products, support better brands, and build a better world in the process. We recently reached a significant milestone by becoming a Certified B Corporation, making us the largest grocer to earn this coveted qualification.\n\n\nTHE ROLE\n\n\nThrive Market’s Data Engineering team is seeking a Senior Data Engineer!\n\n\nWe are looking for a brilliant, dedicated, and hardworking engineer to help us build high-impact products alongside our Data Strategy Team. Our site sees millions of unique visitors every month, and our customer growth currently makes us one of the fastest-growing e-commerce companies in Los Angeles. We are looking for a Senior Data Engineer with hands-on experience working on structured/semi-structured/Complex data processing and streaming frameworks. We need your amazing software engineering skills to help us execute our Data Engineering & Analytics initiatives and turn them into products that will provide great value to our members. In this role, we are hoping to bring someone in who is equally excited about our mission, learning the tech behind the company, and can work cross-functionally with other engineering teams. \n\n\n\nRESPONSIBILITIES\n* Work across multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market\n* Be hands-on and take ownership of the complete cycle of data services, from data ingestion, data processing, ETL to data delivery for reporting\n* Collaborate with other technical teams to deliver data solutions which meet business and technical requirements; define technical requirements and implementation details for the underlying data lake, data warehouse and data marts\n* Identify, troubleshoot and resolve production data integrity and performance issues\n* Collaborate with all areas of data management as lead to ensure patterns, decisions, and tooling is implemented in accordance with enterprise standards\n* Perform data source gap analysis and create data source/target catalogs and mappings\n* Develop a thorough knowledge and understanding of cross system integration, interactions and relationships in order to develop an enterprise view of Thrive Market’s future data needs\n* Design, coordinate and execute pilots/prototypes/POC to provide validation on specific scenarios and provide implementation roadmap \n* Recommend/Ensure technical functionality (e.g. scalability, security, performance, data recovery, reliability, etc.) for Data Engineering\n* Facilitate workshops to define requirements and develop data solution designs\n* Apply enterprise and solution architecture decisions to data architecture frameworks and data models\n* Maintain a  repository of all data architecture artifacts and procedures\n* Collaborate with IT teams, software providers and business owners to predict and devise data architecture that addresses business needs for collection, aggregation and interaction with multiple data streams\n\n\n\nQUALIFICATIONS\n* Hands on experience  programming in Python, Scala or Java\n* Expertise with RDBMS and Data Warehousing (Strong SQL) with Redshift,Snowflake or similar\n* In-depth knowledge and experience with data and information architecture patterns and implementation approaches for Operational Data Stores, Data Warehouses, Data Marts and Data Lakes\n* Proficiency in logical/physical data architecture, design and development\n* Experience in Data lake / Big data analytics platform implementation either cloud based or on-premise; AWS preferred \n* Experience working with high volumes of data; experience in design, implementation and support of highly distributed data applications \n* Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration E.g. GitHub, Jenkins, Concourse, Airflow, Terraform\n* Experience with writing Kafka producers and consumers or experience with AWS Kinesis \n* Hands-on experience developing a distributed data processing platform with Big Data technologies like Hadoop, Spark etc\n* A knack for independence (hands-on) as well as team work\n* Excellent analytical and problem-solving skills, often in light of ill-defined issues or conflicting information.\n* Experience with streaming data ingestion, machine-learning, Apache Spark a plus\n* Adept in the  ability to elicit, gather, and manage requirements in an Agile delivery environment\n* Excellent communication and presentation skills (verbal, written, presentation) across all levels of the organization. Ability to translate ambiguous concepts into tangible ideas.\n\n\n\nBELONG TO A BETTER COMPANY\n* Comprehensive health benefits (medical, dental, vision, life and disability)\n* Competitive salary (DOE) + equity\n* 401k plan\n* Flexible Paid Time Off\n* Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences\n* Ability to work in our beautiful co-working space at WeWork in Playa Vista and other locations\n* Dog-Friendly Office\n* Free Thrive Market membership and discount on private label products\n* Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform\n\n\nWe're a community of more than 1 Million + members who are united by a singular belief: It should be easy to find better products, support better brands, make better choices, and build a better world in the process.\nFeeling intimidated or hesitant about applying because you don’t meet every requirement?  Studies prove that women and people of color are less likely to apply for jobs if they do not meet every single qualification. At Thrive Market, we believe in building a diverse, inclusive, and authentic culture. If you are excited about this role along with our mission and values, we sincerely encourage you to apply anyways! As the great Los Angeles King Wayne Gretzky said, “You miss 100% of the shots you don’t take.” Take the shot! \nThrive Market is an EOE/Veterans/Disabled/LGBTQ employer\nAt Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We’re proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re thinking about joining our team, we expect that you would agree!\nIf you need assistance or accommodation due to a disability, please email us at [email protected] and we’ll be happy to assist you.\nEnsure your Thrive Market job offer is legitimate and don't fall victim to fraud. Thrive Market never seeks payment from job applicants. Thrive Market recruiters will only reach out to applicants from an @thrivemarket.com email address. For added security, where possible, apply through our company website at www.thrivemarket.com.\n© Thrive Market 2023 All rights reserved.\n\nJOB INFORMATION\n* Compensation Description - The base salary range for this position is $160,000 - $190,000/Per Year. \n* Compensation may vary outside of this range depending on several factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location. \n* Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more! \n\n\n\n\n\n#LI-DR1 \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Scala, Senior and Engineer jobs that are similar:\n\n $55,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nLos Angeles or Remote