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 Positive to Have: MLflow | LangChain | AI Agents | SQL Server | DuckDB | Terraform | Docker

📌 Senior Data Engineer (Karnataka)
🏢 Publicis Global Delivery
📍 Karnataka