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Main Roles and Responsibilities : - Design, develop, and implement ETL pipelines for the continuous deployment and integration. - Collaborate with other data engineers and data scientists to understand data requirements and optimize data solution processes. - Assure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements - The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.) - Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications - Build data pipelines to collectively bring data together - Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse - Implement best practices for pipeline building and governance. - Troubleshoot and resolve issues related to pipeline deployment and performance. - Ensure compliance with security and data privacy standards - Solution design using Microsoft Azure services and other tools Required skills and experience : - 2-3 years of experience in Azure Data Analytics, Synapse, DevOps. - Proficiency in programming languages such as Python, SQL, Py-Spark, Spark-SQL. - Experience with Azure: ADLS, Synapse, Stream Analytics, SQL DW, Analysis Services, Serverless Architecture, ARM Templates - Experience with cloud platforms like Azure, AWS or and their respective services. - Knowledge of CI/CD pipelines, automation tools and version control systems like Git. - Solid problem-solving skills and ability to troubleshoot complex issues. - Experience with monitoring tools. - Ability to work collaboratively in cross-functional teams. Nice to have: - Should have Data Engineer certification from any discipline - Azure, AWS. - Azure Synapse Studio, Data bricks, Fabric - Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) Location - Hyderabad,Ahmedabad,pune,chennai,kolkata. .
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.