Job DescriptionSenior Data Engineer - Databricks | PySpark | dbt | Lakehouse Engineering

NThis is NOT a typical Data Engineering position.

NWe 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.

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

NJob Title: Senior Data Engineer

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

NExperience: 5+ Years

NLocation: BNG | HYD | PUN | MUM | GGN

NWork Model: Hybrid

NWhat We're Looking For

NMandatory-Solid hands-onexperience required:

N

n
- Databricks – withpractical experience building production data platforms and Lakehouse architectures.
N
- PySpark – strong production experience working with non-trivial data volumes.
N
- Python – advanced programming and data engineering experience.
N
- dbt – hands-on experience with staging, transformations, incremental models, testing, and documentation.
N
- CI/CD – Azure DevOps – experience deploying and managing data assets through CI/CD pipelines.
N
- PostgreSQL – database design, schema management, query optimization,



and performance tuning.
N
- Strong understanding ofMedallion Architecture and Delta Lake.
N
- Advanced SQL and experience working with large-scale datasets.
N

nGood to Have

n

N
- MLflow and experience supporting ML/data science workflows.
N
- LangChain or similar AI/Agent frameworks.
N
- Exposure to AI Agents /AI-ready data platforms.
N
- Experience with SQL Server.
N
- Experience with DuckDB.
N
- Terraform / Infrastructure-as-Code exposure.
N
- Docker and containerized data workloads.
N
- Experience with APIs and structured/semi-structured formats such as JSON, CSV, Parquet, and Apache Arrow.
N
- Exposure to marketing analytics, marketing measurement, or enterprise consulting environments.
N

nWhy This Role Is Different

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

NYou'll be responsible forbuilding 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.

NPrimary Skills (Mandatory):

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

NGood to Have:

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

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