5+ years of experience in Technical and Functional roles in Data Engineering
Experience with the Azure data and analytics stack: Pyspark, Databricks, Azure Data Factory, Azure SQL/Synapse DW, Power BI, etc.
Data engineering experience and seasoned coder in the relevant languages: Python & SQL
Strong Experience in Data Ingestion, Transformation, and Loading of Data.
Fully conversant with big-data processing approaches and “schema-on-read” methodologies. Preference for a deep understanding of Spark, Databricks, and Delta Lake
Experience with Agile delivery frameworks and tools: Jira, Confluence, Azure DevOps/Github Enterprise, etc.
Familiar deploying enterprise analytics solutions at scale with applicable services: administration, qualification, and user access provisioning.
Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.) and business stakeholders in commercial organizations.
The ideal candidate possesses great communication skills and the ability to communicate inherently complicated technical concepts to non-technical stakeholders of all levels.