Data Engineer - ETL

Hiring Alert | Data Engineer ETL | Pune: We are looking for a talented Data Engineer ETL to join our growing data engineering team and help build scalable, high-performance data platforms. Experience: 48 Years Mandatory Skills: - Databricks - DBT - Snowflake - ETL Development - Apache Spark / PySpark - Data Modeling & Query Optimization Role Overview: As a Databricks Developer, you will be responsible for building and maintaining robust ETL pipelines, optimizing data models, and supporting enterprise reporting and analytics initiatives. You will work on modern cloud-based data platforms while contributing to data governance and scalable architecture practices. Key Responsibilities: - Build, test, and maintain scalable ETL pipelines using Databricks and Apache Spark - Develop and optimize data models and SQL queries for performance and efficiency - Implement and maintain Medallion Architecture (Bronze, Silver, Gold layers) - Support data governance initiatives to ensure data quality, consistency, and reliability - Collaborate with cross-functional teams on data management and reporting solutions - Troubleshoot and optimize Databricks workflows to improve performance and reduce costs - Create and maintain documentation for ETL pipelines, data models, and governance processes Required Experience: - Hands-on experience with Databricks for ETL pipeline development - Strong experience with DBT and Snowflake - Experience in data modeling, query optimization, and reporting processes - Understanding of Medallion Architecture and Data Governance frameworks - Strong SQL and data engineering fundamentals Hiring Alert | Data Engineer ETL | Pune: We are looking for a talented Data Engineer ETL to join our growing data engineering team and help build scalable, high-performance data platforms. Experience: 48 Years Mandatory Skills: - Databricks - DBT - Snowflake - ETL Development - Apache Spark / PySpark - Data Modeling & Query Optimization Role Overview: As a Databricks Developer, you will be responsible for building and maintaining robust ETL pipelines, optimizing data models, and supporting enterprise reporting and analytics initiatives. You will work on modern cloud-based data platforms while contributing to data governance and scalable architecture practices. Key Responsibilities: - Build, test, and maintain scalable ETL pipelines using Databricks and Apache Spark - Develop and optimize data models and SQL queries for performance and efficiency - Implement and maintain Medallion Architecture (Bronze, Silver, Gold layers) - Support data governance initiatives to ensure data quality, consistency, and reliability - Collaborate with cross-functional teams on data management and reporting solutions - Troubleshoot and optimize Databricks workflows to improve performance and reduce costs - Create and maintain documentation for ETL pipelines, data models, and governance processes Required Experience: - Hands-on experience with Databricks for ETL pipeline development - Strong experience with DBT and Snowflake - Experience in data modeling, query optimization, and reporting processes - Understanding of Medallion Architecture and Data Governance frameworks - Strong SQL and data engineering fundamentals