Data Engineer

Orion Innovation — Chennai, Tamil Nadu

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Data Engineer Location- Kochi/Coimbatore/Chennai Job Overview We are seeking a strong Data Engineer - Databricks Migration with 10+ years of experience and hands-on expertise in Databricks, PySpark, and SQL/T-SQL interpretation to support a legacy-to-Databricks migration program. The ideal candidate should have worked predominantly as a Data Engineer throughout their career, ideally beginning with Oracle, SQL Server/T-SQL, ETL, or Data Warehouse technologies and later transitioning into modern cloud-based Data Engineering. The role requires the ability to understand existing T-SQL logic and migrate transformation rules into scalable Databricks and PySpark solutions. Important screening criterion: The candidate must have worked predominantly and consistently as a Data Engineer throughout their career. Profiles that are primarily BI, reporting, dashboarding, analytics, or only recently shifted into data engineering should not be prioritized. Key Responsibilities: Analyze legacy data warehouse, SQL Server, Oracle, ETL, and T-SQL based implementations for migration to Databricks. Read and interpret complex T-SQL scripts, stored procedures, functions, views, joins, transformation rules, and data flows. Convert business logic from legacy SQL/T-SQL processes into optimized Databricks and PySpark workflows. Design, develop, and maintain scalable ETL/ELT pipelines in Databricks. Support ingestion, transformation, val

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