Senior Data Engineer

Project Catalyst | Managed Services Engagement
Location
Bangalore/Hyderabad
Experience
5+ Years Data Engineering | Healthcare Analytics Preferred
Position Summary
The Senior Data Engineer is a technical authority Analytics Organization data engineering practice. This role takes ownership of complex pipeline design, architectural decisions, and end-to-end delivery accountability for enterprise data integration workflows. Beyond development, the Senior Data Engineer mentors junior engineers, drives platform stabilization in the AWS-migrated workplace, and actively contributes to modernization planning. This individual operates with high autonomy and is expected to resolve the most complex data engineering challenges across a production footprint of ~2,000 stored procedures, ~225 scheduled jobs, and ~40 job streams.
Key Responsibilities
Lead the design and architecture of enterprise ETL/ELT pipelines, data integration workflows, and transformation frameworks across DB2, SQL Server, and AWS
Define and enforce data engineering standards — coding patterns,



naming conventions, error handling, logging, and performance benchmarks
Architect scalable data integration solutions using IBM DataStage, Oracle GoldenGate, and SQL-based transformation layers
Evaluate emerging technologies and propose modernization opportunities aligned to Project Catalyst objectives
Own L2/L3 escalations for complex pipeline failures, data quality issues, and integration incidents across the production footprint
Manage and optimize IBM Workload Scheduler job streams, dependency chains, and SLA-driven scheduling configurations
Oversee DB2 and SQL Server platform health — object optimization, index management, storage monitoring, and release governance
Lead monthly release cycles end-to-end including environment coordination, change control, and production readiness validation
Drive automation of high-volume manual tasks — dataset refreshes, extract modifications, and scheduled

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