Role: Azure Data Engineer
Location: Troy, MI (Hybrid)
Duration: 12–18 Months
Employment Type: Fulltime
Job Description:
We are seeking an experienced Azure & Snowflake Data Engineer to design, develop, and support scalable data solutions on Microsoft Azure. The ideal candidate will have strong hands-on experience with Azure Data Factory, Snowflake, SQL, Python, and Snowpark to build and optimize enterprise data pipelines in a collaborative Agile environment.
Required Skills:
4+ years of Data Engineering experience
Microsoft Azure
Azure Data Factory (ADF)
Snowflake (Tasks, Streams, Stored Procedures, Functions)
Snowpark
SQL
Python
Data Warehouse & Lakehouse Architecture
ETL/ELT Development
Data Modeling
Agile methodology
Responsibilities:
Design, develop, and maintain scalable data pipelines on Azure.
Build and manage ETL/ELT workflows using Azure Data Factory.
Develop and optimize Snowflake solutions using Tasks, Streams, Stored Procedures, Functions, and Snowpark.
Write and optimize complex SQL queries and data transformations.
Develop Python scripts for data processing and automation.
Monitor, troubleshoot, and support production data pipelines.
Collaborate with onsite and offshore teams to deliver enterprise data solutions.
Maintain technical documentation, data mappings, and process workflows.
Participate in Agile planning, development, testing, and deployment activities.
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