Data Engineer

KEY SKILLS:

Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI. 5-7 years data analytics experience using SQL 5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5-7 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions 5-7 years data analytics experience using SQL 5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI. Combination of Development, Administration & Support experience in several of the following tools/platforms required: Scripting: Python, Spark, Unix, SQL Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions CI/CD: GitHub, Jenkins, Azure DevOps, Terraform BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana Clear understanding on Data Warehousing concept Data Governance and Privacy: Informatica Axon and EDC, BigID Orchestration: Azure Data Factory, Tivoli