Data Engineer Sr (Bengaluru)

Data Engineer Sr (Bengaluru)

23 Aug
|
NTT DATA Business Solutions
|
Bengaluru

23 Aug

NTT DATA Business Solutions

Bengaluru

Roles & Responsibilities
Develop Databricks notebooks, jobs, and workflows to replicate and enhance DB2/Guidewire-based pipelines and transformations.
Implement Delta Lake tables and patterns (bronze/silver/gold, ACID, time travel, schema evolution) for migrated data.
Integrate Databricks with AWS/S3 or Azure ADLS, ADF/Synapse, Key Vault, and Snowflake as required.
Optimize Databricks clusters, jobs, and queries for performance and cost.
Implement incremental loads, CDC patterns, and batch schedules for large datasets.
Collaborate with Snowflake and dbt teams to ensure consistent data models and data contracts.
Participate in data validation and reconciliation between DB2 400 / Guiderwire and Databricks outputs.
Follow coding standards, version control, and CI/CD practices using Git/Azure DevOps.
Provide defect fixes and support during SIT/UAT and post go-live stabilization.

Experience :

Legacy Demystification & Ingestion (DB2/400 & Guidewire)
8+ years of experience in databricks with understanding complex legacy data models and getting that data into the cloud:




Extracting DB2/AS400: Experience with Change Data Capture (CDC) or scheduled batch extractions from DB2 into cloud storage. Involves working through JDBC connections, mapping table dependencies, and re-platforming legacy SQL to distributed computing standards.
Handling Guidewire Data: Integrating with Guidewire Cloud Data Access (CDA) or InsuranceSuite to replicate complex P&C; (Property & Casualty) insurance schemas. Senior engineers parse these highly normalized operational databases and transform them into analytical-friendly schemas in the cloud.
2. Architecture & Pipeline Development
The core of the experience involves transitioning these legacy, row-based stores into a scalable Medallion Architecture (Bronze, Silver, Gold layers):
Delta Lake Optimization: Using Databricks and Apache Spark to build ETL/ELT data pipelines with ACID transactions. Senior engineers handle schema evolution, upserts, and slo

📌 Data Engineer Sr (Bengaluru)
🏢 NTT DATA Business Solutions
📍 Bengaluru

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