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Location: Bangalore Experience: 57 years About the Role We are looking for experienced data engineers who can independently build, optimize, and manage scalable data pipelines and platforms. In this role, youll work closely with clients and internal teams to deliver robust data solutions that power analytics, AI/ML, and operational systems. Youll also help mentor junior engineers and bring engineering discipline into our data engagements. Key Responsibilities Design, build, and optimize large-scale, distributed data pipelines for both batch and streaming use cases. Implement scalable data models, data warehouses/lakehouses, and data lakes to support analytics and decision-making. Collaborate with cross-functional stakeholders to understand business requirements and translate them into technical data solutions. Drive performance tuning, monitoring, and reliability of data pipelines. Write clean, modular, and production-ready code with proper documentation and testing. Contribute to architectural discussions, tool evaluations, and platform setup. Mentor junior engineers and participate in code/design reviews. Must-Have Skills Solid programming skills in Python and advanced SQL expertise. Experience with DataBricks is must. Deep understanding of data engineering concepts such as ETL/ELT, data modeling (OLTP & OLAP), warehousing, and stream processing. Experience with distributed data processing frameworks (e.g., Apache Spark, Flink, or similar). Experience with Snowflake is preferred. Experience with building pipelines using orchestration tools like Airflow or similar. Familiarity with CI/CD pipelines and version control tools like Git. Ability to debug, optimize, and scale data pipelines in real-world settings. Good to Have Experience working on any major cloud platform (AWS preferred; GCP or Azure also welcome). Exposure DBT or similar platforms is a plus. Understanding of data governance, data quality frameworks, and observability. Certification in AWS (e.g., Data Analytics, Solutions Architect) or Databricks is a plus. Other Expectations Comfortable working in fast-paced, client-facing environments. Strong analytical and problem-solving skills with attention to detail. Ability to adapt across tools, stacks, and business domains. Willingness to travel within India for short/medium-term client engagements as needed. .
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.