Senior Data Warehouse Engineer
FairMoney (company site, opens in a new tab)10+ yrsDelhi NCROn-siteDirect career pageEst. 35–60 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Own and lead the architecture, data modelling, and quality standards for FairMoney's cloud data warehouse critical for lending, banking, risk, and finance teams.
- Lead and grow a team of data engineers, managing sprint planning, design reviews, and stakeholder reporting while ensuring SLA adherence for dataset freshness, accuracy, and availability.
- Partner with business, product, risk, and finance stakeholders to translate requirements into reliable data products, ensuring compliance with financial regulatory and governance standards.
Minimum Requirements
- 10+ years in data engineering, data warehousing, or analytics engineering with at least 3 years managing engineers.
- Expert-level SQL and strong Python proficiency, with deep experience in dimensional data modelling, SCDs, and incremental/idempotent transformations.
- Hands-on experience with modern cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) and production use of dbt and workflow orchestrators like Airflow.
- Experience in fintech, banking, or financial services domain; accountable for business-critical dataset ownership including SLAs.
Ideal Candidate Profile
- Senior data engineering leader comfortable with hands-on architecture decisions and code reviews while managing team delivery and growth.
- Strong at stakeholder management capable of negotiating priorities and explaining technical trade-offs clearly to business and finance leaders.
- Experienced in modern data platforms migration and operational excellence, with focus on automation, CI/CD, data quality, observability, and regulatory compliance in financial contexts.