Senior Data Engineer

Experteer Overview In this role, you will work on data analytics and integration pipelines using Databricks and Azure data services. You will build and manage notebooks, implement analytics requirements with PySpark, Python, Scala, and SQL, and ensure smooth operations through monitoring and issue resolution. You’ll collaborate with clients in a hybrid setup, contribute to CI/CD and ALM/Ops practices, and support data platform initiatives with Delta Share and Delta Catalogues. This position offers hands-on work with modern data tooling and a chance to impact data-driven decision making. You will be instrumental in delivering reliable analytics solutions and advancing the data platform maturity of the team. Compensation / Benefits * Write and manage notebooks in Databricks * Implement new data analytics requirements using ADLS Gen2, PySpark, Python, Scala and SQL * Monitor jobs and troubleshoot ServiceNow iris tickets * Perform code enhancements and handle Change Requests * Manage code migration activities related to CI/CD Tasks * Databricks experience * ADF (Azure Data Factory) * Azure Data Lake Storage Gen2 * PySpark * Java * SQL * Python * Scala * experience with API-based system integration and drivers * strong communication skills * hybrid client-site work capability * experience with UC Delta Share and UC Catalogues * ALM/LoPs implementation (ALMLOps) Key requirements *

_ migration activities related to CI/CD Tasks * Databricks experience * ADF (Azure Data Factory) * Azure Data Lake Storage Gen2 * PySpark * Java * SQL * Python * Scala * experience with API-based system integration and drivers * strong communication skills * hybrid client-site work capability * experience with UC Delta Share and UC Catalogues * ALM/LoPs implementation (ALMLOps) Key requirements *