Summary
✨ AI‑Generated
A hands-on Azure Data Engineer position requiring deep experience building data pipelines, analytics solutions, SQL procedures, and cloud integrations. You will work extensively with Azure data services, Python, CI/CD, GitHub, deployment across development through production environments, and automation using functions, notebooks, and workflow activities. The role follows a hybrid schedule.
Highlights
Strong hands-on Azure data engineering role offering a hybrid schedule, competitive hourly compensation, and extensive work with modern cloud data services, automation, CI/CD, and production deployments.
Description
Role: Azure Data Engineer
Location: Jackson, MI (Hybrid - 3 days onsite)
Experience: 10+ Years
Pay Rate: $60/hr on W2
Job Summary
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
Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry.
It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.
