? Hiring: Senior Data Engineer | 6+ Years? Location: Bangalore? Experience: 6+ Years? ? Role: Senior Data EngineerWe are looking for a highly skilled Senior Data Engineer with solid expertise in Data Architecture, System Design, Python, and SQL to design, build, and own end-to-end production data pipelines powering analytics and business decision-making.The ideal candidate should have strong experience in transaction-level data modeling, data quality, auditability, data lineage, and production pipeline ownership, preferably within finance, risk, or compliance data domains.? Key Responsibilities
- Own data architecture and system design decisions for data pipelines and data models.
- Design and build scalable, production-grade data pipelines end-to-end.
- Design transaction-level fact tables and standard fact/dimension models.
- Implement Bronze/Silver/Gold (Medallion) architecture.
- Build pipelines for finance, risk, or compliance use cases where accuracy and auditability are critical.
- Implement data quality controls, reconciliation, anomaly detection, and audit trails.
- Write complex SQL using CTEs, window functions, CASE logic, COALESCE, NULLIF, and date/timestamp handling.
- Build idempotent data reload patterns and handle late-arriving or corrected records without double-counting.




- Develop and maintain Airflow-style DAGs and cross-pipeline dependencies.
- Build Python-based ETL tooling using Pandas, SQLAlchemy, and database drivers.
- Work with YAML-driven configurations and integrate with APIs where required.
- Own CI/CD processes using Git workflows.
- Document data models, pipeline logic, data lineage, and operational processes.?️ Must-Have Skills✅ 6+ years of experience in Data Engineering✅ Strong Python + SQL expertise✅ Strong Data Architecture and System Design skills✅ End-to-end production pipeline ownership✅ Expert SQL including Window Functions, CTEs, CASE logic✅ Strong experience with MySQL / PostgreSQL✅ Experience designing Transaction / Fact Tables✅ Strong data quality, reconciliation, auditability, and lineage practices✅ Experience with Airflow or similar orchestration tools✅ Strong data modeling knowledge — Fact/Dimension, Normalization, Medallion Architecture⭐ Good to Have
- Finance, Risk, or Compliance data experience
- Spark / Hive / Hadoop experience
- YAML-based pipeline configuration
- CI/CD and Git workflows
- API integrations
- Experience with large-scale production data platforms

📌 Senior Data Engineer | 6+ Years (Bengaluru)
🏢 ShimentoX Technologies
📍 Bengaluru