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Azure Data Engineer (Lead) Location: Bengaluru / Mumbai / Pune / Noida / Gururgram Employment Type: Full time / Permanent Experience Level: [ 8 12+ Years] Mode: Hybrid Job Summary We are looking for a hands-on Azure Data Engineer (Lead) to lead a team of data engineers while actively contributing as an Individual Contributor. In this role, you will design, build, and maintain scalable data processing systems on the Azure platform. You will collaborate closely with data architects, data scientists, and business stakeholders to deliver robust, high-performance data solutions that drive business decisions. Key Responsibilities - Technical Leadership & Hands-on Contribution: Lead, mentor, and guide a team of data engineers while actively writing code, designing pipelines, and building architecture. - Azure Data Platform Design: Design, develop, and maintain end-to-end data pipelines and data processing systems on Azure. - ETL & Data Integration: Build scalable ETL/ELT pipelines for seamless data ingestion, transformation, and storage from diverse sources. - Database Management & Optimization: Manage Azure data stores (Azure SQL, Cosmos DB, ADLS) and write highly optimized SQL queries for high performance. - Stakeholder Collaboration: Partner with data architects, data scientists, and business analysts to translate business requirements into technical data solutions. - Project & Delivery Management: Oversee data engineering project deliverables, ensuring code quality, performance, security, and timely execution. Core Skills & Qualifications - Azure Mastery: Deep hands-on experience with Azure data services including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure SQL Database, and Azure Cosmos DB (or Azure Synapse Analytics). - ETL & Data Pipelines: Proven expertise in designing, building, and optimizing production-grade ETL/ELT workflows and data integration processes. - Advanced SQL & Query Optimization: Expert-level SQL skills with a focus on database performance tuning, indexing, and query optimization. - Leadership Experience: Demonstrated track record of leading data engineering projects and mentoring engineering teams. - Data Modeling: Experience in relational and NoSQL data modeling, data warehousing concepts, and schema design. .
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.