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Dear Team, We have an immediate requirement for the below position. Kindly share only relevant and technically strong profiles matching the mandatory skills. Note: Wed require UAN after L1 selection. Position: Senior Data Engineer (Databricks) Experience: 5 10 Years Work Mode: Hybrid (3 days/week) Locations: Gurugram, Bengaluru, Pune, Hyderabad, and Bhopal Monthly Rate: 1.50 LPM Mandatory Technical Skills Solid hands-on experience with Databricks (PySpark, SQL, Delta Lake, Unity Catalog, Databricks Workflows/Jobs Orchestration) Azure Data Factory (ADF) Lakehouse Architecture (Bronze, Silver & Gold layers) Databricks Lakeflow (Declarative Pipelines, Lakeflow Connect, CDC, Data Quality Validations) AI/BI & Genie (Semantic Layers, Certified Datasets, Self-Service Analytics) AI Engineering (LLMs, RAG, Vector Search, Prompt Engineering, AI Agents/Copilots) Unity Catalog Governance (Access Control, Data Masking, Audit Logging, Lineage) DevOps (Git, CI/CD, Databricks Repos, Asset Bundles) Key Responsibilities Design, develop, and support enterprise-scale data pipelines using Databricks. Build and maintain Delta Tables under Unity Catalog. Develop Lakeflow pipelines with incremental processing and CDC. Enable AI/BI capabilities using Semantic Models and Genie Spaces. Integrate SharePoint and other enterprise data sources into the Lakehouse. Ensure data quality, governance, platform performance, and operational reliability. Work independently to resolve technical challenges. Key Screening Notes Strong hands-on Databricks experience is mandatory . Candidates must have real project experience with: Lakehouse Architecture Unity Catalog Databricks Lakeflow Experience with AI-enabled analytics, RAG solutions, LLMs, or AI Agents/Copilots will be highly preferred. Please share only technically robust and relevant profiles to avoid unnecessary rejections. Kindly share suitable profiles at the earliest along with the following details: Total Experience Relevant Experience in Databricks Current Location Preffered Location Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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.