Sr Azure Data Engineer

at Insight Global
Location Ogden, UT
Date Posted October 7, 2021
Category All
Job Type Full-Time

Description

Day to Day:

Insight Global is looking for a Senior Data Engineer to help create new values for one of our largest clients in Utah. The ideal candidate will work with managing large datasets and complex data environments to obtain actionable insights from our corporate data. This role will be focused on designing, implementing, and enhancing data architectures for ingesting and processing, including making large data sets available for BI and advanced analytics all driven by the Microsoft Azure Platform. This is a perfect opportunity for a candidate to become a part of a growing team that develops analysis tools for all areas of our global business and for a person who enjoys working in a collaborative and agile environment. This position will require a results-driven individual who has a passion for data/analytics and who can work collaboratively with others to solve key business problems and drive business growth and data insights.

Job Description (Responsibilities & Duties):

Plan

Develop data architectures and data models for data ingestion and processing.

Engineer data flow and data ingestion tools, and techniques to support big data.

Work with both structured and unstructured data to build data models & data schemas Execute

Wrangle large data sets to obtain actionable insights from them.

Work with global BI, ETL, and Visualization experts and tool sets to process & manage data.

Grow

Ensure quality and validity of data through data architecture and related best practices.

Support the growth and scalability of data pipelines, data lakes, and data warehousing.

Pluses:

Microsoft Certified: Azure Data Engineer Associate (Exam DP-203) If they have this they are a rockstar and have everything they are looking for!

Power BI Experience

Power Query Experience

Project Management Experience

Data Vault 1.0 Certification
Must Haves:

5+ years of Data Engineering experience

Experience with all of the following Azure data structures and technologies:

o Synapse

o Data Bricks

o Data Factory

o Spark

o Data Flows

Ability to communicate and with BI, ETL, Data Analytics and other IT team members

Ability to lead team of 2 other Data Engineers

Snowflake Enterprise Data Warehouse (Snowflake Database, SnowPipe, SnowSQL)

Experience with Statistical scripting/programming languages (R, Python, JSON), and REST based API development

Experience with using Automation and DEVOPS tools such as Azure DevOps, GitHub, UIPATH, Ansible, etc.

Pluses:

Microsoft Certified: Azure Data Engineer Associate (Exam DP-203) If they have this they are a rockstar and have everything they are looking for!

Power BI Experience

Power Query Experience

Project Management Experience

Data Vault 1.0 Certification

Day to Day:

Insight Global is looking for a Senior Data Engineer to help create new values for one of our largest clients in Utah. The ideal candidate will work with managing large datasets and complex data environments to obtain actionable insights from our corporate data. This role will be focused on designing, implementing, and enhancing data architectures for ingesting and processing, including making large data sets available for BI and advanced analytics all driven by the Microsoft Azure Platform. This is a perfect opportunity for a candidate to become a part of a growing team that develops analysis tools for all areas of our global business and for a person who enjoys working in a collaborative and agile environment. This position will require a results-driven individual who has a passion for data/analytics and who can work collaboratively with others to solve key business problems and drive business growth and data insights.

Job Description (Responsibilities & Duties):

Plan

Develop data architectures and data models for data ingestion and processing.

Engineer data flow and data ingestion tools, and techniques to support big data.

Work with both structured and unstructured data to build data models & data schemas Execute

Wrangle large data sets to obtain actionable insights from them.

Work with global BI, ETL, and Visualization experts and tool sets to process & manage data.

Grow

Ensure quality and validity of data through data architecture and related best practices.

Support the growth and scalability of data pipelines, data lakes, and data warehousing.

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