Azure Data Engineer :: Jackson, MI (3 days onsite) :: W2

Job Description: Hands on Experience in Azure Synapse Analytics, Azure Data Factory and Data Bricks, Azure Storage, Azure Key Vault, SQL Pools CI/CD Pipeline Designing and other Azure services like functions, logic apps - Linked services, Various Runtimes, Datasets, Pipelines, Activities Strong Hands-on Experience in Various Activities like Control flow logic and conditions (For Each, if, switch, until), Lookup, Stored procedure, scripts, validations, Copy Data, Data flow, Azure functions, Notebooks, SQL Pool Stored procedures etc. Strong hands on exp in deployment of code throughout landscape (Dev -> QA -> Prod), Git Hub, CI/CD pipelines etc. Strong hands on creating the SQL stored procedures - Functions, Stored Procedures, how to call one SP into another, how to process record-by-record - Dynamic SQL - Data Bricks -

Must have: Strong background about the Python libraries like PySpark, Pandas, Num Py, MySQL, Oracle, PySpark libraries Must have strong hands on to get data through APIsMust be able to install libraries and help users to troubleshoot issues Must have knowledge to get the data through stored procedures via Python Should be able to debug the Python code Hands on experience in Spark Pools, Spark Should be able to merge data/delta loads through Notebooks Must have strong background about the Python libraries and PySpark - Hands on Exp on Power BI