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 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.
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:
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Databricks – withpractical experience building production data platforms and Lakehouse architectures. N
PySpark – robust 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
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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

📌 Senior Data Engineer Karnataka
🏢 Publicis Global Delivery Pgd
📍 Karnataka