Senior Data Engineer

Bangaloreonsitesenior

Posted today · via Workday

About this role

Position Summary: We are seeking a hands-on Data Engineer building on Databricks who is growing their Lakehouse and performance-engineering depth, with a builder's mindset for AI-assisted operations. Key Responsibilities: Design and develop scalable data pipelines and Lakehouse solutions on Databricks. Build and tune Databricks workloads for performance and cost, including cluster sizing, query optimization, and Delta Lake table design. Implement and utilize best practices for partitioning, clustering, and workload isolation. Track performance trends, identify high-cost queries, and partner with source teams and end users to resolve long-running loads. Design and operationalize Unity Catalog for data governance — access control, lineage, and security.…

Read the full description on Nxp's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, sql, databricks, serverless, spark…

2

Level fit

This role is senior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Bangalore. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonsqldatabricksserverlesssparkpysparkteams

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