Senior Data Engineer

Publicis Global Delivery (PGD); Bengaluru; Hybrid; INR 3,000,000 - 4,500,000; Full time

Job summary

Publicis Global Delivery (PGD) in Bengaluru is seeking a hands-on Senior Data Engineer with strong Databricks experience to build production-grade data platforms. You will design Lakehouse architectures, optimize PySpark pipelines, and develop robust dbt models across large datasets.

The role focuses on architecture, performance, data quality and reproducibility, with a hybrid work model and exposure to AI-ready data workflows. Strong SQL and PostgreSQL skills are essential.

Qualifications

• Mandatory hands-on Databricks experience building production data platforms.

Responsibilities

• Design and implement Lakehouse/Medallion architectures on Databricks.

Skills

Databricks

PySpark

Python

dbt

Azure DevOps

PostgreSQL

Advanced SQL

Delta Lake

Medallion Architecture

Tools

Azure DevOps

Docker

Terraform

Job description

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 – 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 DevOps – 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.
• LangChain 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 DevOps / CI-CD | PostgreSQL | Advanced SQL | Delta Lake | Medallion Architecture

Good to Have:

MLflow | LangChain | AI Agents | SQL Server | DuckDB | Terraform | Docker