PayU is hiring for the post of Data Engineer in Bangalore , Gurgaon & Mumbai. Candidates who are looking for this opportunity can apply for this position before the last of the application. Check eligibility details and application process given below.
Company Name: PayU
Job Location: Bangalore , Gurgaon & Mumbai
Job Role: Data Engineer
Experience: Freshers
Employment Type: Full Time
Selection Type: Online
Educational Qualifications: B. Tech / BE /MEng/MSc/PhD degree
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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
Job Role:
- Strong knowledge and experience in Python, Pandas, Data wrangling, ETL processes, Spark statistics, data visualization, Data Modelling and Informatica.
- 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
- B. Tech / BE /MEng/MSc/PhD degree in computer science, engineering, mathematics, physics, or equivalent (preference: DS/ AI)
- Experience with designing and implementing tools that support sharing of data, code, practices across organizations at scale
How To Apply:
- Visit the official website/ click on given link below
- Fill all the application details
- Upload the updated Resume
Application Link: APPLY NOW