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Responsibilities: Design, develop, and maintain ETL/ELT processes using Talend and other data integration tools. Build scalable and efficient data pipelines for data ingestion, transformation, and loading. Extract data from multiple sources and integrate it into enterprise data warehouses and data lakes. Develop data transformation logic and workflows to support business requirements. Write and optimize complex SQL queries, stored procedures, and database scripts. Utilize Python for data processing, automation, and data engineering tasks. Perform data validation, cleansing, and quality checks to ensure data accuracy and consistency. Troubleshoot and resolve ETL job failures, performance bottlenecks, and data issues. Collaborate with business analysts, data architects, and stakeholders to understand data requirements. Participate in code reviews, testing, deployment, and production support activities. Ensure adherence to data governance, security, and compliance standards. Eligibility :6+ years of experience in Data Engineering and ETL Development . Robust hands-on experience with Talend Data Integration (DI ) . Expertise in ETL/ELT concepts and data integration methodologies . Strong programming skills in Pytho n . Advanced knowledge of SQ L and database development . Experience with relational databases such as Oracle, SQL Server, Postgre SQL, My SQL, or Snowflake . Strong understanding of data warehousing concepts and dimensional modeling . Experience handling large-scale data processing and complex transformations . Knowledge of data quality, data validation, and performance tuning techniques . .
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.