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Lead Data Engineer
1 month ago
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 pipeline
• 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
