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Tier-1 brand, metro location, and a common mid-level data-engineering role increase applicant competition.
Core data engineering skills are transferable across industries, though financial systems exposure is preferred.
Explicit 3–6 years plus required SQL, .NET, Snowflake, and API skills creates strict filters.
Design, develop, and maintain data ingestion and integration pipelines between systems like Investran and Snowflake.
Build and automate ETL/ELT workflows and manage API-based data integrations ensuring data quality and reliability.
Provide cross-functional leadership including mentorship and strategic architectural guidance, supporting Windows and web applications.
3–6 years of experience in data engineering, integration, or backend development.
Strong expertise in SQL and .NET (C#) for system integrations.
Experience building ETL/ELT workflows and with Snowflake data warehouse.
Role is onsite in Gurugram with a 4-day in office, 1-day flexible work arrangement.
Experienced in API development with REST, JSON and authentication methods, connecting SaaS and on-premise apps to cloud platforms.
Comfortable collaborating across data architecture, business teams, and mentoring others in a fast-paced environment.
Exposure to financial systems like Investran and cloud environments (AWS, Azure, GCP) is advantageous but not mandatory.