Area(s) of responsibility
Role SummaryWe are looking for a highly skilled Databricks Data Engineer with strong hands on expertise in Databricks, PySpark, ADF, and SQL. The candidate will be responsible for architecting, developing, and optimizing contemporary data platforms and analytical solutions on Azure. The role requires solid experience building enterprise-grade data pipelines, enabling ingestion from diverse sources, implementing complex transformations, and supporting scalable analytics initiatives.
Key Responsibilities1. Data Engineering Execution
- Build and maintain ingestion frameworks (ADF / Databricks / Spark)Implement Bronze -> Silver transformations aligned to architectureArchitect data quality checks, schema validation, and contract rules- Build and optimize robust, high-throughput ELT/ETL pipelines, enabling ingestion, transformation, and curation of structured, semi structured, and unstructured data.- Integrate data from multiple on premise and cloud based systems, APIs, and third-party sources.- Implement complex transformations using PySpark,



ensuring performance efficiency and code modularity.- Build orchestration workflows in ADF, including pipelines, triggers, linked services, integration runtimes, and parameterized datasets.- Familiar with using Databicks Genie.
2.Design and implement curated data models in Gold layer aligned to business use casesBuild:-Dimensional models (star/snowflake schemas)-Fact tables, dimensions, surrogate keys, SCD handlingTranslate Silver datasets into:-Analytics-ready models-Consistent KPI definitions and business logicEnsure:-Consistency across domains (common dimensions, conformed models)-Reusability and scalability of models2. Databricks & PySpark EngineeringDevelop scalable transformation scripts using PySpark on Databricks, applying advanced optimizations like caching, partitioning, and Delta Lake capabilities.Implement Delta Lake features—ACID transactions, schema enforcement, schema evolution, and time travel—ac

📌 Databricks - Technical Specialist-Data Engg (Pune)
🏢 Birlasoft
📍 Pune