PayU Careers 2020: Jobs Open For Data Engineer In Bangalore, Karnataka Location.
About Company:
PayU, the fintech-arm of Naspers, is a leading financial services provider in global growth markets. We use our expertise and heritage in cross border and local payments to extend the services we offer to merchants and consumers. Our local operations span 18 growth markets across Asia, Central and Eastern Europe, Latin America, the Middle East and Africa.
PayU Careers 2020 Hiring Data Engineer
Job Profile: Data Engineer
Job locations: Bangalore
Degree Required: B.E/B.Tech/M.E/M.Tech/MS
Best Aptitude Course for Placements 2020 Join Now: Click Here
Job responsibilities:
- Design infrastructure for data, especially for but not limited to consumption in machine learning applications
- Define database architecture needed to combine and link data, and ensure integrity across different sources
- Ensure performance of data systems for machine learning to customer-facing web and mobile applications using cutting-edge open source frameworks, to highly available RESTful services, to back-end Java based systems
- Work with large, fast, complex data sets to solve difficult, non-routine analysis problems, applying advanced data handling techniques if needed
- Build data pipelines, includes implementing, testing, and maintaining infrastructural components related to the data engineering stack.
- Work closely with Data Engineers, ML Engineers and SREs to gather data engineering requirements to prototype, develop, validate and deploy data science and machine learning solutions
Get Jobs Update on Telegram : Click Here
Requirements to be successful in this role:
Join Our Whatsapp Group: Click Here
- Strong knowledge and experience in Python, Pandas, Data wrangling, ETL processes, Spark statistics, data visualisation, Data Modelling .
- Strong experience with scalable compute solutions such as in Kafka, Snowflake
- Strong experience with workflow management libraries and tools such as Airflow, AWS Step Functions etc.
- Strong experience with data engineering practices (i.e. data ingestion pipelines and ETL)
- A good understanding of machine learning methods, algorithms, pipelines, testing practices and frameworks
- BTech / BE /MEng/MSc/PhD degree in computer science, engineering, mathematics, physics, or equivalent (preference: DS/ AI)
Apply Link : Click Here to apply PayU Data Engineer