Overview
On Site
$DOE
Contract - W2
Contract - of Contract
Skills
Python
Devops
data warehousing
Azure Spark Pools
Databricks Notebook
Cosmos DB
CDC tools
Job Details
Job Title: Azure Data Engineer
Location: Irving, TX
Domain: Telecommunications
Long Term Contract
Looking for W2 Candidates. No C2C
Location: Irving, TX
Domain: Telecommunications
Long Term Contract
Looking for W2 Candidates. No C2C
EDUCATION AND EXPERIENCE:
Bachelor s degree in computer science, Computer Engineering, Software Engineering, Information Systems, or related fields.
Minimum 8-10 years of hands-on experience in building data pipelines, data models and maintaining/supporting enterprise data warehouse solutions
Experience in scaled agile framework for data engineering product delivery
Microsoft Azure certifications in various analytics technologies is a plus
Working knowledge/familiarity with Oil & Gas industry processes is a plus
Bachelor s degree in computer science, Computer Engineering, Software Engineering, Information Systems, or related fields.
Minimum 8-10 years of hands-on experience in building data pipelines, data models and maintaining/supporting enterprise data warehouse solutions
Experience in scaled agile framework for data engineering product delivery
Microsoft Azure certifications in various analytics technologies is a plus
Working knowledge/familiarity with Oil & Gas industry processes is a plus
Skills:
Must have strong SQL experience, data modeling, data warehouse and OLAP concepts as a data engineer.
Must have strong experience using Azure Data Lake Storage, Azure Synapse Analytics for data warehousing, Azure Spark Pools, Databricks Notebook, Cosmos DB, CDC tools, Python, DevOps, CI/CD.
Familiarity with data integration tools (e.g. Qlik Replicate) and with data modeling tools (e.g. Erwin) is a plus.
Familiarity with data lake medallion architecture and concepts of Unified Data Models.
Familiarity with contextualization products (e.g. Cognite) is a plus.
Working experience and exposure to visualization tools such as Microsoft Power Bi, Tableau desired.
Familiarity with Scaled Agile, DevOps, Scrum, and ITIL concepts is a plus.
Experience with Microsoft SSIS, SSRS, SSAS.
Must have strong SQL experience, data modeling, data warehouse and OLAP concepts as a data engineer.
Must have strong experience using Azure Data Lake Storage, Azure Synapse Analytics for data warehousing, Azure Spark Pools, Databricks Notebook, Cosmos DB, CDC tools, Python, DevOps, CI/CD.
Familiarity with data integration tools (e.g. Qlik Replicate) and with data modeling tools (e.g. Erwin) is a plus.
Familiarity with data lake medallion architecture and concepts of Unified Data Models.
Familiarity with contextualization products (e.g. Cognite) is a plus.
Working experience and exposure to visualization tools such as Microsoft Power Bi, Tableau desired.
Familiarity with Scaled Agile, DevOps, Scrum, and ITIL concepts is a plus.
Experience with Microsoft SSIS, SSRS, SSAS.
Best Regards:
Tarun K
Phone: +1-
Tarun K
Phone: +1-
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