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 / DesignationData Engineer Solution ArchitectQualificationBachelor's degree in Computer Science, Information Technology, Engineering, or a related technical fieldYears of Experience8+ Years Permanent / Contract (If contract, period ?)Permanent Full TimeOffice / Remote / Hybrid : Bnagalore & chennai

Number of post2GenderMale / FemaleAnnual 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/BaseTask, External TaskSensor 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

- Robust 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 workflowsJoining DateNeed Immediate to 1 Month

📌 Lead Data Engineer /Solution Architect - Chennai & Bagalore (Bengaluru)
🏢 TeamPlus Staffing Solution
📍 Bengaluru