Key Responsibilities: Design, develop, and maintain scalable and efficient data pipelines using Azure Databricks Optimize and troubleshoot existing data pipelines to enhance performance and reliability. Ensure data quality, integrity, and consistency across various data sources. Implement ETL processes and manage data flows into Data Warehouses and Data Marts. Develop and optimize SQL queries on Snowflake for data processing and reporting. Utilize Python for data processing, transformation, and automation tasks. Monitor pipeline performance, proactively identify issues, and conduct necessary maintenance and updates. Maintain comprehensive documentation of data processes, architectures, and technical specifications. Required Skills: Azure Databricks PowerBI SSRS and MSSQL Snowflake Python ETL Development GitHub for version control and collaboration JIRA for work management Experience Range: 3 to 5 years Interpersonal Skills: Strong problem-solving and analytical abilities. Excellent written and verbal communication skills. Ability to work effectively within a team and collaborate.

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Senior Data Engineer