Data Engineer -Python SQL & Azure

Interpro has been in the IT consulting business since 1993 and our employees work on a range of projects across the country. We have an opportunity for a highly experienced Senior Data Engineering Lead with minimum 5+ years’ experience in modern data engineering, data warehousing and data lake technologies on Azure cloud platform. 

Remote Working PST hours. Occasional travel to Bay Area

 Qualifications:

The candidate must have experience and expert skills in the following areas:

• Programming Skills: Stellar hands-on expertise in Python, PySpark, and SQL.
• Azure Expertise: Proficient in Microsoft Azure Cloud Services.
• Data Warehousing: Expertise in data warehouse best practices, development standards and methodologies. Minimum of 5 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on the Azure cloud.
• Data Modeling Expertise: Minimum of 12 years of proven experience with SQL, schema design, and dimensional data modeling.
• Big Data Tools: any Spark platform such as (but not limited to) Databricks, Synapse, Fabric, Snowflake, etc.
• Cloud Data Engineering concepts: Experience with common ETL/ELT tools (ADF, Informatica, Talend) and implementing Medallion Architecture for data management.
• Data Management and Storage: Proficiency with Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, etc.
• Analytical Skills: Strong analytical and problem-solving skills.
• Leadership: Lead development teams, drive project timelines, and ensure high-quality deliverables.

Additional Preferred Qualifications:

• Azure DevOps and CI/CD deployments
• Cloud migration methodologies and processes
• 2+ yrs of experience with Power BI or
• 5+ yrs of experience with any reporting/visualization tool like Tableau/OBIEE etc.