2 open positions available
Lead design and development of scalable Azure data pipelines, manage ETL processes, optimize Snowflake storage, and build analytical dashboards using Power BI. | Must have strong experience with Azure Data Factory, Databricks, Snowflake, Power BI, SQL, Python, PySpark, and data modeling/ETL. | Position: Lead Azure Data Engineer Location: Remote Experience: 12+ Years Key Responsibilities: • Lead design & development of scalable Azure data pipelines using ADF and Databricks. • Manage ETL processes and optimize Snowflake data storage. • Build analytical dashboards using Power BI. • Collaborate with cross-functional teams for data-driven insights. Must-Have Skills: • Azure Data Factory (ADF), Databricks, Snowflake • Power BI, SQL, Python, PySpark • Strong data modeling & ETL experience Nice to Have: • Experience with Azure Synapse, Delta Lake, CI/CD, or Data Governance
Lead data engineering efforts using Azure Data Factory, Databricks, Snowflake, and Power BI to build scalable data pipelines and analytics solutions. | 12+ years experience with Azure Data Factory, Databricks, Snowflake, Power BI, Python PySpark, and SQL for data engineering leadership. | Lead Azure Data Engineer Location- Remote Experience- 12+ Years Lead Azure Data Engineer with ADF and Databricks, Snowflake and Power BI, Python Pyspark and SQL
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