Job Description

Experience including cloud technologies. Very strong hands-on experience in Databricks with AWS cloud service in Data engineering/Data processing hands-on. Must have experience in IBM StreamSets development. Hands on experience in AWS Cloud-based development and integration Proficiency in programming languages Scala and PLSQL for data processing and application development Practical experience with Data Engineering and the accompanying DevOps & DataOps workflows Strong knowledge on Pyspark and Python, Databricks SQL -Data engineering pipelineo Experience in offshore/onshore model and Ability and agile methodology. Gathering requirements, understand the business need and regular discussion with tech on design, development activities. Should have good experience working with client architect/design team to understand the architecture, requirement and work on the development. Experience working in a Financial Industry. Certification on Databricks and AWS will be added advantage.
Skills: Rest APIs, SQL, Unit Testing, Snowflake, Amazon Web Services, Communication Skills, Analytical Skills, Advanced SQL, Airflow, Apache Kafka, GBI Framework, Data Engineering, Data Visualization, ETL Framework, GSF, Kubernetes, Python

Job Type: Full-time

Pay: ₹500,000.00 - ₹1,100,000.00 per year

Benefits:

Health insurance
Schedule:

Day shift
Experience:

Databricks: 8 years (Preferred)
Work Location: In person