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EY GDS – AI & Data
Databricks Senior Data Engineer
AI-enabled data platform engineering

The opportunity
Our AI & Data practice helps clients build trusted, modern data platforms that power analytics, operational decisions, and responsible AI. As a Databricks Senior Data Engineer, you will own end-to-end data products and technical workstreams, from design through production operation. You will combine strong engineering fundamentals with practical use of native AI capabilities on Databricks, always prioritising business value, security, and reliable production operation.

Your key responsibilities
Data engineering and platform delivery

Build lakehouse solutions using Delta Lake, Lakeflow, Databricks SQL, Unity Catalog,



and medallion or domain-oriented data-product patterns.
Engineer secure batch and streaming pipelines using Spark, Delta Live Tables / Lakeflow Spark Declarative Pipelines, Auto Loader, workflows, and declarative quality expectations.
Design and own scalable batch and streaming data products, selecting appropriate data models, processing patterns, quality controls, and service-level expectations.
Troubleshoot complex performance, reliability, and cost issues; establish reusable engineering patterns and guide code reviews and delivery standards.
Translate business requirements into reusable, tested data products with transparent ownership, contracts, documentation, data-quality checks, and service-level expectations.

AI-ready data and native AI capabilities

Use Mosaic AI, AI/BI Genie, Agent Bricks, vector search, model serving, MLflow, and Databricks Assistant / Genie Code capabilities where appropriate

📌 EY - GDS Consulting - AI And DATA -Azure Databricks-Senior (Bidhannagar)
🏢 EY
📍 Bidhannagar