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 robust, 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 marke

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