Position: Sr. Data Engineer - Data Platform

Location: Gurugram (Hybrid)

Type: Full-time

Exp: 15+ Years

Virtual Interview

MNC Background Preferred

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:

- 12+ 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.