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Position : Sr. Data Engineer - Data PlatformLocation: Gurugram (Hybrid) Type: Full-time Exp: 8+ Years, Virtual Interview Budget: Up to 24-28 LPA (Flexible) Immediate to 10 days max (Serving Notice) ACCOUNTABILITIES Engineering: Design and Implement technology solutions around data and software engineers. Work closely with Technical Lead from the team to drive technical strategy, ensuring alignment with vision and goals Data Marketplace: Evaluate and implement necessary system integrations to drive vision around data-as-product and data discovery for business users. sourcing: Partnering with Enterprise teams, drive the needs by creating a collaborative development approach. Partner with technical program managers to create backlog of work for team and report on critical initiatives. DevOps: Develop effective DevOps practice to improve developer experience and faster time-to-market. Champion data governance, DevOps practices, and platform engineering to accelerate time-to-market and improve developer experience. Collaborate with cross-functional teams to deliver business-critical use cases and enable self-serve analytics. Work closely with data analysts, business analysts, and other stakeholders to understand their needs and translate them into technical data solutions. Monitor data processes and workflows, proactively identify and resolve performance bottlenecks, and troubleshoot data-related issues. COMPETENCIES/QUALIFICATIONS 8+ years of experience in data driven organizations, with a focus on end to end, large scale initiatives. Deep technical understanding of data warehouse technologies such as Snowflake, Starburst Trino, PostgreSQL, and SQL Server (SSMS). Workflow orchestration experience using Apache NiFi or similar tools. Proficient in solution design and implementation of scalable data pipelines, data lakes, and data warehouses. Strong programming skills in Python and SQL. Good knowledge of AWS services, including S3, EC2, EKS, and RDS. Strong version control and collaboration practices, including Git, code reviews, and CI/CD workflows. Functional knowledge of the asset management domain, with understanding of concepts such as positions, transactions, pricing, valuation, and accounting. Proficient in using AI assisted development tools, such as GitHub Copilot and Claude Code. Demonstrated ability to communicate, negotiate, influence, and manage competing priorities across diverse user groups and stakeholders. Strong decision making skills, with an outcome driven mindset and the ability to influence, lead change, and communicate effectively. Compensation: 2,400,000.00 - 2,800,000.00 per year Work Location: In person Position : Sr. Data Engineer - Data PlatformLocation: Gurugram (Hybrid) Type: Full-time Exp: 8+ Years, Virtual Interview Budget: Up to 24-28 LPA (Flexible) Immediate to 10 days max (Serving Notice) ACCOUNTABILITIES Engineering: Design and Implement technology solutions around data and software engineers. Work closely with Technical Lead from the team to drive technical strategy, ensuring alignment with vision and goals Data Marketplace: Evaluate and implement necessary system integrations to drive vision around data-as-product and data discovery for business users. sourcing: Partnering with Enterprise teams, drive the needs by creating a collaborative development approach. Partner with technical program managers to create backlog of work for team and report on critical initiatives. DevOps: Develop effective DevOps practice to improve developer experience and faster time-to-market. Champion data governance, DevOps practices, and platform engineering to accelerate time-to-market and improve developer experience. Collaborate with cross-functional teams to deliver business-critical use cases and enable self-serve analytics. Work closely with data analysts, business analysts, and other stakeholders to understand their needs and translate them into technical data solutions. Monitor data processes and workflows, proactively identify and resolve performance bottlenecks, and troubleshoot data-related issues. COMPETENCIES/QUALIFICATIONS 8+ years of experience in data driven organizations, with a focus on end to end, large scale initiatives. Deep technical understanding of data warehouse technologies such as Snowflake, Starburst Trino, PostgreSQL, and SQL Server (SSMS). Workflow orchestration experience using Apache NiFi or similar tools. Proficient in solution design and implementation of scalable data pipelines, data lakes, and data warehouses. Strong programming skills in Python and SQL. Good knowledge of AWS services, including S3, EC2, EKS, and RDS. Strong version control and collaboration practices, including Git, code reviews, and CI/CD workflows. Functional knowledge of the asset management domain, with understanding of conce
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.
