MS/BS degree in Computer Science, Engineering, Data Science or equivalent experience, with preference on experience and proven track record.
Ideal candidate would have an impressive hands-on work history in an advanced, recognized and innovative environment.
5+ years Data engineering experience and seasoned coder in the relevant languages: Python, SQL, Scala, etc.
Experience with the Azure data and analytics stack: Databricks, Data Factory, SQL DW, Cosmos DB, Power BI, Power Apps, etc.
Fully conversant with big-data processing approaches and schema-on-read methodologies.
Preference for deep understanding of Spark, Databricks and Delta Lake, and applying them to solve data science and machine learning business problems.
Experience with Agile delivery frameworks and tools: Jira, Confluence, Azure DevOps, DataOps etc.
Experience with visualization tools and their application: developing reports, dashboards and KPI scorecards.
Familiar deploying enterprise analytics solutions at scale with applica