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.
Explicit, 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 modern 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)
🏢 Cvali
📍 Mumbai