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Job Title: Data Engineer Level: Senior Consultant Experience: 3-6 Years Location: Mumbai and Ahmedabad Role Summary The Data Engineer role focuses on the design, development, and maintenance of scalable, reliable, and high-performance data platforms. The role requires strong hands-on expertise in Python-based microservices, distributed data processing frameworks, and cloud-based big data ecosystems, with a primary emphasis on building robust applications to process ETL pipelines and production-grade data systems. Key Responsibilities Design, develop, and maintain scalable Python-based microservices for data ingestion and processing Build and optimize microservices to support end-to-end ETL pipelines for large-scale batch and streaming data Develop and manage distributed data processing work ows using Apache Spark and PySpark Create, schedule, and monitor work ows using Apache Air ow Design and deploy data pipelines on AWS EMR or similar big data platforms using Python Implement real-time data ingestion and streaming pipelines Ensure data quality, reliability, performance, and scalability of data systems Apply best practices for code quality, testing, CI/CD, and production monitoring Troubleshoot production issues and perform root-cause analysis Required Skills & Experience 68 years of experience in Data Engineering or backend data platform roles Strong pro ciency in Python with experience building production-grade microservices Hands-on expertise with Apache Spark and PySpark Experience working with AWS EMR or equivalent cloud-based big data services. (Must have knowledge on AWS eco system) Strong experience with Apache Air ow for work ow orchestration Deep understanding of ETL pipeline design and data modeling Hands-on experience with Kafka for inter-domain communication and real-time or streaming data pipelines Strong experience with PostgreSQL or similar RDBMS Experience working in Agile/Scrum environments Good to Have Experience with Scala, Docker and Kubernetes Exposure to cloud platforms such as AWS, Azure, or GCP Experience with data lake architectures and schema evolution Familiarity with monitoring and logging tools Desired Competencies Strong ownership and accountability Excellent problem-solving and analytical skills Good communication and collaboration skills Ability to work independently in a fast-paced environment .
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.