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Role Overview :We are seeking a seasoned Data Engineer to join our high-performing analytics team based in Chennai, Kolkata, Hyderabad, or Pune. In this role, you will architect and maintain scalable data pipelines, transforming complex raw data into actionable business intelligence. You will collaborate closely with cross-functional data science teams, product managers, and business stakeholders to translate technical requirements into robust data solutions. By optimizing our cloud infrastructure and ensuring seamless data flow, you will directly influence the speed and accuracy of our decision-making processes, ultimately driving significant value for our global customer base.Key Responsibilities : Design and implement end-to-end ETL pipelines using Azure Data Factory to ensure high-quality data ingestion from diverse source systems. Develop complex data transformation logic and processing workflows using PySpark within the Azure Databricks environment to support large-scale analytics. Optimize SQL queries and database performance to ensure productive data retrieval and reporting for internal stakeholders. Collaborate with engineering teams to troubleshoot data quality issues and implement automated monitoring solutions that maintain system reliability. Translate business requirements into scalable technical architectures, ensuring that data models align with long-term organizational goals.Required Skillset : Demonstrated expertise in building and managing cloud-native data platforms using Azure, with a deep understanding of distributed computing principles. Proficiency in writing production-grade PySpark code and complex SQL queries to handle large datasets effectively. Proven ability to design and orchestrate sophisticated ETL/ELT workflows using Azure Data Factory to meet stringent business SLAs. Solid interpersonal skills with the ability to communicate complex technical concepts to non-technical stakeholders and work effectively in a collaborative, team-oriented environment. A Bachelors degree in Computer Science, Engineering, or a related quantitative field, paired with a minimum of 4 - 8 years of relevant professional experience. High adaptability to hybrid or remote work environments, maintaining productivity and explicit communication across distributed teams. (ref:hirist.tech) . .
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.