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We are looking for a Senior ETL Data Engineer with 8+ years of experience to design, build, and maintain robust data pipelines and scalable data architectures. In this role, you will work closely with cross-functional teams to transform complex raw data into structured, reliable datasets for analytics and business intelligence. Key Responsibilities Design, build, and optimize end-to-end data pipelines and ETL workflows using Azure Data Factory (ADF).Develop efficient, scalable data processing scripts and data transformations using PySpark.Build and manage enterprise data warehouse solutions in Azure Synapse Analytics.Implement high-performance data storage and querying patterns using Delta Lake architecture.Write complex, optimized SQL queries, stored procedures, and transformations for data modeling and analysis.Monitor, troubleshoot, and optimize data pipeline performance, ensure data quality, and resolve data bottlenecks.Mandatory Qualifications & Requirements PySpark: Core proficiency in writing PySpark code for large-scale distributed data processing.Azure Data Factory (ADF): Hands-on experience creating, orchestrating, and monitoring complex ETL/ELT pipelines.Azure Synapse Analytics: Proven experience in designing data warehouses and running distributed analytical queries.SQL: Advanced proficiency in SQL for data manipulation, schema design, and query optimization.Delta Lake: Practical experience implementing ACID transactions, schema enforcement, and time travel features on lakehouse storage.Preferred Skills Strong understanding of Data Warehousing principles (Dimensional Modeling, Star/Snowflake Schemas).Experience with Git, CI/CD pipelines, and DevOps principles for data workflows.Familiarity with data governance, security, and access control in Azure environments.Compensation: 700,000.00 - 1,500,000.00 per year Experience: Pyspark: 6 years (Required)Synapse: 6 years (Required)ADF: 6 years (Required)Delta Lake: 6 years (Required)Work Location: Hybrid remote in Chennai, Tamil Nadu .
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.