Senior Data Engineer - Databricks | PySpark | 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, PySpark & dbt pipelines, PostgreSQL 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.
- PySpark
- solid 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.
- PostgreSQL
- 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.

Good 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

DuckDB .

- 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 | PySpark | Python | dbt | Azure Dev Ops / CI-CD | PostgreSQL | Advanced SQL | Delta Lake | Medallion Architecture

Good to Have: MLflow | Lang Chain | AI Agents | SQL Server | DuckDB | Terraform | Docker

📌 Senior Data Engineer (Mumbai)
🏢 Publicis Global Delivery Pgd
📍 Mumbai