Job Description

- 8+ years’ experience in hands‑on data engineering, including technical leadership on production platforms

- We were looking for stronger hands-on technical depth across areas such as building production-grade data pipelines, data quality and validation, Databricks governance/access management, real-time processing, and data security.

- We were looking for practical experience in designing solutions, explaining technical decisions and trade-offs, and solving complex data engineering problems.

- Candidates who have influenced design and technical decisions with trade offs and rationale.

- Clear, hands-on involvement and ownership across the full lifecycle from design, implementation, testing, Security, Governance, deployment, production support.

- Enterprise-scale environments, large data volumes (between 10s to 100s TBs ),

- Comfortable working with multiple stakeholders (BAs, Architect, Data Scientist, end user).

- Experience providing technical governance (design reviews, standards, delivery assurance)



and supporting delivery at pace

- Comfortable contributing to estimation and commercial discussions and ensuring solutions are feasible and deliverable

- Proven ability to mentor and help develop engineers through coaching, feedback, and structured development support

- Strong hands‑on coding skills in Python, Java, or similar languages, with strong SQL capability

- Proven experience building and operating batch and streaming pipelines in production

- Experience with AWS, Databricks / Spark, and up-to-date data architectures

- Hands‑on experience using dbt for transformations and Airflow (or equivalent) for orchestration

- Solid understanding of data modelling, data quality, and production data systems

- Experience working with relational databases such as Postgres or SQL Server

- Familiarity with CI/CD pipelines, testing frameworks, and monitoring / observability tooling

📌 Data Engineering Lead (Mumbai)
🏢 Version 1
📍 Mumbai