Lead Data Engineer /Solution Architect - Chennai & Bagalore

• Lead Data Engineer /Solution Architect - Chennai & Bagalore
• Company: Teamplus Staffing Solution
• Job Location: Chennai, Tamil Nadu, India
• Employment Type: Full-time
• Experience Required: 8+ years
• Salary: 32L36L a year
• About Teamplus Staffing Solution
• Hi,We are having opening for Data Engineer Solution Architect / Lead
• Job Summary:

We're looking for a Senior Data Engineer with strong data architecture and system design skills to design, build, and own end-to-end production pipelines powering analytics and decision-making across the org. The role centers on deep Python + SQL expertise, robust transaction-level fact tables, and rigorous data quality and auditability, ideally within a finance, risk, or compliance data domain

• Working Days:
• Monday Friday
• Job Timing: 9AM 6PM
• Position / Designation
• Data Engineer Solution Architect
• QualificationBachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field
• Years of Experience8+ Years Permanent / Contract (If contract, period )Permanent Full Time
• Office / Remote / Hybrid :
• Bnagalore & chennai
• Number of post2Gender
• Male / Female

Annual CTC / Salary 32 L.p.a Selection Process1- Total 3 Technical round 2- 2 rounds evaluation with LV (we can plan to take this together based on panel availability) & 1 with client

Job Role & ResponsibilityOwn data architecture and system design decisions for pipelines and data models - grain, partitioning, schema evolution, and scalability tradeoffs.

Take end-to-end ownership of pipelines in production: design, build, deploy, monitor, and operate.

Design and build transaction tables (append-only, immutable event/transaction-grain fact tables) alongside standard fact/dimension models using medallion (bronze/silver/gold) architecture.

• Build and support pipelines for finance, risk, or compliance use cases where accuracy, auditability, and data lineage are critical.
• Implement data quality and auditability controls:
• validation checks, reconciliation logic, anomaly detection, and audit trails for every pipeline you own.
• Write complex, cross-dialect SQL (MySQL + PostgreSQL): window functions, multi-layered CTEs, CASE-driven logic, COALESCE/NULLIF, type casting, and date/timestamp handling.

Build idempotent reload patterns (DELETE+INSERT), UNION ALL/set operations, and templated (Jinja-style) SQL including handling for late-arriving/corrected transaction records without double-counting.

• Orchestrate Airflow-style DAGs (Pipeline/Base
• Task, External Task
• Sensor for cross-pipeline deps) with secure credential handling via uSecret.
• Build Python ETL tooling:
• pandas (CSV DB), SQLAlchemy + raw drivers (MySQLdb, psycopg2), type hints/dataclasses, class-based pipeline design.
• Integrate with Google Drive/Sheets APIs; build YAML-driven pipeline configs; handle Piper staging/user_staging quirks.
• Own CI/CD for pipelines via standard Git workflows.
• Skills
• Strong data architecture and system design skills to make sound tradeoffs on modeling, partitioning, and scalability, not just write queries.
• Demonstrated end-to-end production ownership of data pipelines from design through deployment, monitoring, and operational support.
• Expert-level Python + SQL as the primary toolset.
• Hive/Hadoop is a nice-to-have only.
• Robust data quality and auditability practices - validation, reconciliation, anomaly detection, audit trails.
• Experience working with finance, risk, or compliance data - comfort with the heightened accuracy, auditability, and data-lineage requirements typical of these domains.
• Proven experience designing and building transaction/fact tables.
• Expert SQL (window functions, CTEs, CASE logic, cross-dialect MySQL/PostgreSQL).
• Strong Python (pandas, SQLAlchemy, type hints/dataclasses, class-based pipelines).
• Airflow-like orchestration experience (Piper/uWorc a plus).
• Solid data modeling fundamentals (fact/dim, normalization, medallion architecture).
• YAML-based config experience; standard CI/CD and Git workflows
• Joining Date
• Need Immediate to 1 Month .