What you'll do :

• Build ETL (extract, transform, and loading) jobs using Snowflake and DBT for our internal projects and for customers that use various platforms like Azure, Salesforce, and AWS technologies
• Monitoring active ETL jobs in production.
• Build out data lineage artifacts to ensure all current and future systems are properly documented
• Assist with the build out design/mapping documentation to ensure development is clear and testable for QA and UAT purposes
• Assess current and future data transformation needs to recommend, develop, and train new data integration tool technologies
• Discover efficiencies with shared data processes and batch schedules to help ensure no redundancy and smooth operations
• Assist the Data Quality Analyst to implement checks and balances across all jobs to ensure data quality throughout the entire environment for current and future batch jobs.
• Hands-on experience in developing and implementing large-scale data warehouses, Business Intelligence and MDM solutions, including Data Lakes/Data Vaults.

What makes you  a great fit :

• Experience as a Data Engineer with a focus on Azure Databricks and ETL processes.
• Strong proficiency in SQL and scripting languages (e.g., Python, Scala).
• Experience with cloud platforms, particularly Azure, and related services (Azure Data Lake Storage, Synapse, Azure SQL Data Warehouse, etc.
• Experience with big data technologies and distributed computing.
• Solid understanding of data modeling, database design, and data warehousing concepts.
• Familiarity with cloud platforms, particularly Microsoft Azure.
• Experience with Healthcare data like EMR data , EDI files and formats
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.