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. • Robust 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

📌 Senior Data Engineer (Mumbai)
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📍 Mumbai