Hiring: Senior Data Engineer | 6+ Years Location:

Bangalore Experience

6+ Years

Role

Senior Data Engineer We 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 robust 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 Solid

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 Solid 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 Vasanthanagar
🏢 ShimentoX Technologies
📍 Vasanthanagar