\nKyivstar.Tech is looking for a Data Engineer (AWS Developer) to manage various life cycles of large systems. The Data Lifecycle Engineer will have the ability to help customers realize their full potential by accelerating the adoption and productive use of AWS technologies\n\n\nRequirements:\nยท 3+ years of technical expertise in Database development, designing and building database solutions (tables / stored procedures / forms / queries / etc.)\nยท Business intelligence knowledge with a deep understanding of data structure / data models to design and tune BI solutions\nยท 3+ years experience AWS services like EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway\nยท Familiar with software DevOps CI/CD tools, such Git, Jenkins, Linux, and Shell Script\nยท Understanding of Spark, Hive, Kafka, Spark Streaming, and Airflow\nยท Experience in Software Engineering and Development\nยท Understanding of database schema design\nยท Advanced data analytics โ designing and building solutions using AWS technologies\nยท Data formats knowledge and the differences between them\nยท Experience with Hadoop stack\nยท Experience with RDBMS and/or NoSQL\nยท Experience with Kafka\nยท Experience with Java and/or Scala and/or python\nยท Knowledge of version control system: git or bitbucket\nยท BI Tools experience (PowerBI)\nยท Background in test driven development, automated testing and other software engineering best practices (e.g., performance, security, BDD, etc.)\nยท Docker/Kubernetes paradigm understanding\nยท English โupper intermediate\nยท Related AWS Certifications are a plus\n\n\nResponsibility:\nยท Developing ETL flows based on AWS stack technology: such as EC2, S3, edshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway\nยท Participate in efforts to design, build, and develop rapid Proof-of-Concept (POC) solutions and services\nยท Be a key team member in design and development of the product team\nยท Participate in sprint planning meetings and provide estimations on technical implementation\nยท Collaborate with the other engineering team members to ensure all services are reliable, maintainable, and well-integrated into existing platforms\nยท Review functional and technical designs to identify areas of risk and/or missing requirements\nยท Troubleshooting and performance optimization for data processing flows, data models\nยท Build and maintain reporting, models, dashboards\n\n\nWe offer:\nยท Office or remote โ it's up to you: you can work from anywhere, and we will arrange your workplace\nยท Remote onboarding\nยท Performance bonuses for everyone (annual or quarterly โ depends on the role)\nยท We train employees: the opportunity to learn through the companyโs own library, internal resources and programs from partners\nยท Health and life insurance\nยท Wellbeing program and corporate psychologist\nยท Reimbursement of expenses for Kyivstar mobile communication\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 Design, Testing, DevOps, Java, Scala, API, Mobile and Engineer jobs that are similar:\n\n
$57,500 — $110,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nAll
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When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Paytm is hiring a Remote Data Science Senior Data Scientist
\nAbout Us: \n\n\nPaytm is Indiaโs leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banksโ financial instruments. To further enhance merchantsโ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners.\n\n\nAbout the role:\n\n\nWe are seeking a highly skilled and experienced Data Scientist who will build and own foundation models with the end goal of mitigating risk across merchant and user journey while enhancing growth across different segments of our business. You will work on developing deep learning (DL) models for Fraud & Risk use cases as well as building in-house foundation models for learning representation of entities like customers, merchants, devices etc. in our ecosystem. In this role you will work with a talented engineering and data science team to build and deploy models at scale. You will have the opportunity to apply and improvise over the latest breakthroughs in AI research from industry and academia and bring them into life with our data product offerings.\n\n\nWhat does this include?\nBuild Sequence and graph representation learning on what our entities (user/merchants/FSE etc) do and how they interact over time in the ever evolving Paytm ecosystem. \nFine tune the learnt models for downstream applications related to better understanding of entities, prevent fraud, target marketing etc.\nDesign, build, evaluate and maintain ML/DL models to detect various types of fraud while improving end user experience\nCollaborate with product and analytics partners for business to ML problem formulation and align on key deliverables\nEnd-to-end management of the entire lifecycle of the machine learning or deep learning project, from identifying objectives and preparing data to testing and validating models, calibrating them, monitoring and feedback loop.\nUnsupervised learning methods to augment existing supervised models, or detect portfolio anomalies\n\n\nRequirements:\n4+ years of work experience as a Data Scientist.\nHave developed and deployed deep neural network models at scale\nKnowledge of sequence representation learning with recursive (RNN, LSTM, ELMO ..) and/or attention (Transformer variations like BERT, GPT, ..) based neural networks. \nShould have developed and deployed one such model from scratch. \nKnow the trade off between choosing the techniques\nWorking knowledge on Knowledge Graph representation learning using Graph Neural Network (GraphSage/GAT/Graph Transformer ..) is a plus\nExcellent understanding of ML/DL frameworks (Keras/Tensorflow/PyTorch etc.) and libraries (scikit-learn, etc.)\nExcellent understanding of computer science fundamentals, data structures, and algorithms.\nShould have familiarity with object-oriented design methodology and application development in Python.\nFamiliar with Big Data related technologies to manage large volumes of complex data (SQL, pyspark). \nKnowledge of Scala is a plus\nPassion to learn and build quick POCโs with state-of-the-art ML/DL algorithms.\nChallenging the norm, creative thinking, collaboration\nWorking experience of fraud risk is plus\nBS in Computer Science or MS in Data Science discipline (or equivalent).\n\n\nWhy join us:\nBecause you get an opportunity to make a difference, and have a great time doing that\nYou are challenged and encouraged here to do stuff that is meaningful for you and for those we serve\nYou should work with us if you think seriously about what technology can do for people\nWe are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be.\nLearn more about the exciting work we do in Tech by reading our Engineering blogs\n\n\nCompensation:\nIf you are the right fit, we believe in creating wealth for you. \nWith enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants โ and we are committed to it. \nIndiaโs largest digital lending story is brewing here. Itโs your opportunity to be a part of the story!\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 Design, Testing, Scala, Senior and Marketing jobs that are similar:\n\n
$50,000 — $100,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nBengaluru, Karnataka
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.