Azure Data Engineer

Microsoft Windows Azure, Data Sets, SQL (Structured Query Language), Microsoft Windows Azure, Continuous Integration, Continuous Deployment/Delivery, Stored Procedures, Scripting (Scripting Languages), Quality Assurance, GitHub, 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, NumPy, MySQL, Oracle, PySpark libraries

Must have strong hands on to get data through APIs

Must 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