Senior Data Engineer - Databricks | Py Spark | dbt | Lakehouse Engineering

This is NOT a typical Data Engineering position.

We are looking for a hands-on Senior Data Engineer with strong, production-grade Databricks experience - someone who has actually built and optimized Lakehouse/Medallion architectures, Py Spark & dbt pipelines, Postgre SQL data layers, and CI/CD workflows, rather than someone with only surface-level exposure to these technologies.

If Databricks is not a core part of your recent hands-on experience, this role may not be the right fit.

Job Title: Senior Data Engineer

Specialization: Data Engineering | Databricks | Lakehouse | Data Platforms | AI-Ready Data

Experience: 5+ Years

Location: BNG | HYD | PUN | MUM | GGN

Work Model: Hybrid

What We're Looking For

Mandatory-Strong hands-on experience required:

Databricks – with practical experience building production data platforms and Lakehouse architectures. Py Spark – strong production experience working with non-trivial data volumes. Python – advanced programming and data engineering experience. dbt – hands-on experience with staging, transformations, incremental models, testing, and documentation.

CI/CD – Azure Dev Ops – experience deploying and managing data assets through CI/CD pipelines. Postgre SQL – database design, schema management, query optimization,



and performance tuning. Strong understanding of Medallion Architecture and Delta Lake.

Advanced SQL and experience working with large-scale datasets. Positive to Have

MLflow and experience supporting ML/data science workflows. Lang Chain or similar AI/Agent frameworks. Exposure to AI Agents / AI-ready data platforms.

Experience with SQL Server.

Experience with Duck DB. Terraform / Infrastructure-as-Code exposure. Docker and containerized data workloads.

Experience with APIs and structured/semi-structured formats such as JSON, CSV, Parquet, and Apache Arrow. Exposure to marketing analytics, marketing measurement, or enterprise consulting environments.

Why This Role Is

Different

This isn't simply a role where you'll "build pipelines and move data."

You'll be responsible for building the data foundation behind modeling, optimization, analytics, customer-facing applications, and AI Agents - with an emphasis on architecture, performance, data quality, governance, reproducibility, and production reliability.

Primary Skills (Mandatory)

Databricks | Py Spark | Python | dbt | Azure Dev Ops / CI-CD | Postgre SQL | Advanced SQL | Delta Lake | Medallion Architecture

Good to Have

MLflow | Lang Chain | AI Agents | SQL Server | Duck DB | Terraform | Docker

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