Azure Synapse Data Engineer

WORK FROM HOME REMOTE

• Microsoft Azure Synapse Analytics experience is essential. (Dedicated SQL Pool, Azure Data Factory, Azure Storage)
• End-to-end Data Warehouse experience: ingestion, ETL, big data pipelines, data architecture, message queuing, stream processing, BI/Reporting, and Data Security.
• Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management, as well as the ability to manipulate, process, and extract value from large, disconnected structured and unstructured datasets.
• Advanced SQL/relational database knowledge (including SSIS), and query authoring (SQL).
• Experience performing root cause analysis on data, answering specific business questions, and identifying opportunities for improvement.
• Understanding of machine learning and artificial intelligence ML libraries and frameworks (TensorFlow, Spark, etc).
• Experience with Data Governance (Quality, Lineage, Data dictionary, and Security).
• Proficiency in programming languages such as Python or equivalent for data engineering tasks.
• Familiarity with Git for version control and Azure DevOps for continuous integration and continuous deployment (CI/CD) processes.