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-Robust hands-onexperience required: Nn 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. NnGood to Haven 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. NnWhy 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 (Vasanthanagar)
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📍 Vasanthanagar