Remote Senior Azure Data Engineer

Description:

• Design, develop, and implement data engineering solutions on the Azure platform
• Create and maintain data pipelines and ETL processes
• Optimize data storage and retrieval for performance and scalability
• Collaborate with data scientists and analysts to build data models and enable data-driven insights
• Ensure data quality and integrity through data validation and cleansing
• Monitor and troubleshoot data pipelines and resolve any issues
• Stay up-to-date with the latest Azure data engineering best practices and technologies

Requirements:

• Excellent communication skills
• Strong experience in Python/Pyspark
• The ability to understand business concepts and work with customers to process data accurately
• A solid understanding of Azure Data Lake, Spark for Synapse (or Azure Databricks), Synapse Pipelines (or Azure Data Factory), Mapping Data Flows, SQL Server, Synapse Serverless/Pools (or SQL Data Warehouse)
• Experience with source control, version control, and moving data artifacts from Dev to Test to Prod
• A proactive self-starter who likes to deliver value, solve challenges, and make progress
• Comfortable working in a team or as an individual contributor
• Good data modeling skills (e.g., relationships, entities, facts, and dimensions)
• The ability to source and ingest data in multiple formats of various variety, volume, veracity, and velocity

Benefits:

• Opportunity to work with cutting-edge Azure technologies
• Collaborate with cross-functional teams to drive data-driven improvements
• Competitive salary and benefits package
• Professional development opportunities and training
• Dynamic and innovative work environment