Sr. Data Engineer
Saim Technologies
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Job Details
Skills
- Data Engineer
- Microsoft
- Microsoft Azure
- Microsoft Power BI
- PySpark
- Python
- SQL
- Snow Flake Schema
- Star Schema
- Virtualization
- Workflow
- Artificial Intelligence
- ADF
- Analytics
- Cloud Computing
- Data Modeling
- Databricks
- GitHub
Summary
Job Title - Senior Data Engineer Location - Minneapolis, MN(Remote) Key Responsibilities: Primary Skills: Microsoft Fabric Azure Synapse Analytics Azure Data Factory (ADF) SQL Power BI Databricks, Databricks workflows, PySpark, Python, Databricks SQL Data Modeling Secondary Skills to Have Open table formats: Delta Lake and Iceberg Cloud technologies: Azure is preferred Data virtualization schemes Detailed JD: Databricks, Azure Data Factory, Databricks workflows, PySpark, Python, Databricks SQL, SQL ,Microsoft Fabric ,Azure Synapse Analytics, Power BI. Config driven data pipelines Databricks Genie conversational tool for AI driven insights using no code/low-code and code completion options using GitHub Copilot Data Modeling: Star Schema and Snowflake Schema Open table formats: Delta Lake and Iceberg Cloud technologies: Azure is preferred Data virtualization schemes | |
Experience | 7-9 Years |
- Dice Id: 91131463
- Position Id: 9067848
- Posted 2 hours ago
Company Info
About Saim Technologies
Saim Technologies provides a variety of services related to Information Technology and out sourcing and has been recognized as a one of the emerging leader in software solutions. We provide custom software development, Staffing, Training and engineering services. We offer Enterprise level web based applications, web services, technical resources, Enterprise level database, software hosting, technical support services, routine programming, and more.
Our IT services focus on providing you with increased business performance by leveraging our technological expertise, business knowledge, process quality, and people. Our dedicated Centers of Excellence and practices around each of our service offerings enable us to continuously improve processes, retain project learning, and expand knowledge repositories to deliver consistent value.
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