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Total Experience: 6+yrs (min 3+yrs in Databricks) Notice: Immediate only Location: Bangalore (Hybrid)/Rest of India- Remote) If interested, pls share your resume at ABOUT THE ROLE We are looking for experienced Data Engineers to join a high-impact engagement building an AI-driven data platform from scratch. You will design accelerators, define self-service frameworks for a growing user base, and own end-to-end pipeline delivery from enterprise source systems. Requirements will evolve you are expected to drive clarity, not wait for it. WHAT YOU WILL DO Design and build reusable data engineering accelerators and self-service frameworks on Databricks Build end-to-end pipelines ingesting from enterprise systems including Bullhorn, Beeline, and SAP Fieldglass Lead Unity Catalog adoption data discovery, lineage, access control, and sharing standards Build API/MCP integrations enabling programmatic access to the data platform Develop dbt models and semantic layer components for commercial and operational reporting Embed AI tooling into development workflows and data pipeline design TECHNICAL REQUIREMENTS Databricks Non-Negotiable Production experience with Spark, Delta Lake, Workflows, DLT, and Repos Unity Catalog implementation and governance Performance tuning: partitioning, Z-ordering, caching, cluster configuration, AQE Python & SQL Mandatory Strong Python: OOP, testing (pytest), modular design, packaging Advanced SQL: window functions, CTEs, query optimisation at scale Py Spark: Data Frame API, UDFs, Structured Streaming Data Modelling & dbt dbt Core or Cloud: models, macros, testing, documentation, semantic layer Medallion architecture (bronze/silver/gold) and lake house design principles Cloud & Infrastructure Hands-on with AWS, Azure, or GCP IAM, storage, secrets management, networking CI/CD pipelines with Git-based workflows (Git Hub Actions, Azure Dev Ops, or equivalent) Data Security Row/column-level security, agile data .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.