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ROLE- Lead Data Engineer LOCATION- Mumbai - Lower Parel / Pune Experience- 8+ yrs Job Summary: We are seeking a technically strong and delivery-focused Lead Engineer to support and enhance enterprise-grade data and application products under the Durables model. The ideal candidate will act as the primary technical interface for the client, ensuring high system availability, performance, and continuous improvement. This role requires a hands-on technologist with strong team management experience, cloud (AWS) expertise, and excellent communication skills to handle client interactions and drive technical decisions. Key Responsibilities: Support & Enhancement Leadership - Act as the primary technical lead for support and enhancement of assigned products in the Durable portfolio. - Ensure incident resolution, problem management, and enhancement delivery within agreed SLAs. - Perform root cause analysis (RCA) and provide technical solutions to recurring issues. - Should design data engineering solutions end to end. Ability to come up with scalable and modular solutions. - Experience working in Agile implementations. Technical Ownership - Provide technical direction and architectural guidance for improvements, optimizations, and issue resolutions. - Drive best practices in code performance tuning, ETL processing, and cloud-native data management. - Lead the modernization of legacy data pipelines and applications by leveraging AWS services (Glue, Lambda, Redshift, S3, EMR, Athena, etc.). - Leverage PySpark, SQL, Python, and other tools to manage big data processing pipelines efficiently. Client Engagement - Maintain high visibility with client stakeholders, act as a trusted technical advisor. - Proactively identify and suggest improvements or innovation areas to improve business outcomes. - Participate in daily stand-ups, retrospectives, and client presentations; communicate technical concepts clearly. Team & Delivery Management - Lead a cross-functional team of engineers, ensuring effective task allocation, mentorship, and upskilling. - Monitor team performance, support capacity planning, and ensure timely and high-quality deliveries. - Ensure adherence to governance, documentation, change management practices and High Availability. Process & Quality Assurance - Implement and ensure compliance with engineering best practices including CI/CD, version control, and automated testing. - Define support procedures, documentation standards, and ensure knowledge transition and retention within the team. - Identify risk areas, dependencies, and propose mitigation strategies. Required Skills & Qualifications: - 8+ years of experience in Data Engineering / Application Support and Development. - 4+ Strong hands-on expertise in AWS ecosystem (Glue, Lambda, Redshift, S3, Athena, EMR, CloudWatch). - Proficiency in PySpark, SQL, Python, and handling big data pipelines. - Strong application debugging skills across batch and near real-time systems. - Good knowledge of incident lifecycle management, RCA, and performance optimization. - Proven experience leading engineering teams (3+ years), preferably in support/enhancement environments. - Excellent communication skills with proven client-facing capabilities. - Strong documentation and process adherence mindset. - Experience with tools like JIRA, Confluence, Git, Jenkins, or any CI/CD pipeline. Valuable to Have: - Experience in on-prem to AWS migration projects. - Familiarity with legacy tech and their interaction with modern cloud stacks. - Good knowledge of designing Hive tables with partitioning for performance. .
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.