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Description:

Job Description:

Create new fields/columns in Redshift and trace downstream propagation (DBT → QuickSight → reports).

•           Build and modify DBT views — staging, intermediate, and marts layers.

•           Understand and maintain data lineage across the full stack.

•           Architect new data feeds for reporting and analytics consumption (Glue, S3, Redshift).

•           Build ETL/ELT pipelines for new data sources as they come online.

•           Design and implement schema changes with full impact analysis before deployment.

•           Collaborate with reporting team members on the reporting data layer — they handle BI; this role handles engineering.

•           Write and optimize complex SQL for data transformations and performance tuning.

•           Partner with Data Governance Analyst to ensure new objects are cataloged and documented at creation

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ECMS REQ ID

Additional Details

  • ECMS REQ ID : 580352
  • Project Location 1 : Pan India
  • Project Location 2 : (No Value)
  • Project Location 3 : (No Value)
  • Project Location 4 : (No Value)
  • Delivery SPOC : [email protected]
  • Relevant Experience : 8-10 years
  • Mandatory skills : • AWS Glue / Redshift / S3• Python / Spark• SQL and data modeling• ETL/ELT pipeline delivery• Data lake architecture
  • Desired skills : AWS Glue / Redshift / S3• Python / Spark• SQL and data modeling• ETL/ELT pipeline delivery• Data lake architecture
  • Domain (Industry) : Insurance
  • BGC (Before onboarding / After onboarding) : PreOB
  • Total Experience (Ex. 5-7 Years) : 10+ Years
  • BGC Details : Infosys Standard
  • BGC Vendor : Infosys Standard
  • Mode of Interview : Face to Face
  • WFO / WFH / Hybrid : Hybrid
  • Please enter shift timings : 11:00 AM to 8:00 PM IST
  • Shift Timings : General