Senior Data Engineer
Posted on Sep 27, 2024 by Epsilon
Southfield, MI
Engineering
Immediate Start
Annual Salary
Full-Time
Job Description
Important: This is a hybrid role working at least 2 days per week in the Atlanta, GA or Southfield, MI office.
How You’ll Make an Impact
Epsilon is seeking a Senior Data Engineer to join our growing data science team assisting with telecommunication clients that we serve.
Work together win together: This role reports to the Vice President, Data Science
Innovate with purpose: Your role is to interpret the business logic required to turn a complex idea into a sustainable value-added process and ensure the data is usable and viable with near real-time reporting, delivering solutions to the problems presented.
What You’ll Achieve
Impact: You will design and deploy the data warehousing system to support day-to-day operations and reporting. You will also conduct preliminary testing of data sources and the data warehouse environment before extracting and loading data into the systems.
Career Growth: If successful, the Senior Data Engineer may gain exposure to other clients where you can make the most impact. Also, you may have an opportunity to level up to a lead or manager role helping to mentor more junior data engineers/ analysts and hone your leadership skills.
Who You Are
What you’ll bring with you:Must be able to adopt all necessary steps required to create analysis-ready data tables including data integration, variable preparation, and quality control. Ensures compliance with the production standards
Must be familiar with programs and maintain report forms and formats, information dashboards, data generators, canned reports, and other end-user information portals or resources
Use of Azure Databricks and/or Data factory to perform all work.
Detect data anomalies and/or inconsistencies and resolve them promptly
Coach junior Data Engineers on tools and processes within the team
Initiative – Proactively identifies areas for improvement and automates processes resulting in efficiency gain
Problem Solving – Always follow the best practices and architecture guidelines while building data solutions
Collaboration – Collaborate with the internal and external stakeholders to manage data system enhancements including system specifications, data specifications, structures, and rules.
Organization – Execute multiple projects concurrently and account for the timeliness and quality.
Why you might stand out from other talent:Bachelor’s degree in computer science or equivalent relevant experience required
3-5+ years of knowledge of ETL Process, Data Hub/Lakes/Mart/Mesh, and Data Democratization
Exposure to Microsoft Azure, Databricks, and Data Factory is a must-have.
Working knowledge of Telecom Industry data is an advantage
Important: This is a hybrid role working at least 2 days per week in the Atlanta, GA or Southfield, MI office.
How You’ll Make an Impact
Epsilon is seeking a Senior Data Engineer to join our growing data science team assisting with telecommunication clients that we serve.
Work together win together: This role reports to the Vice President, Data Science
Innovate with purpose: Your role is to interpret the business logic required to turn a complex idea into a sustainable value-added process and ensure the data is usable and viable with near real-time reporting, delivering solutions to the problems presented.
What You’ll Achieve
Impact: You will design and deploy the data warehousing system to support day-to-day operations and reporting. You will also conduct preliminary testing of data sources and the data warehouse environment before extracting and loading data into the systems.
Career Growth: If successful, the Senior Data Engineer may gain exposure to other clients where you can make the most impact. Also, you may have an opportunity to level up to a lead or manager role helping to mentor more junior data engineers/ analysts and hone your leadership skills.
Who You Are
What you’ll bring with you:Must be able to adopt all necessary steps required to create analysis-ready data tables including data integration, variable preparation, and quality control. Ensures compliance with the production standards
Must be familiar with programs and maintain report forms and formats, information dashboards, data generators, canned reports, and other end-user information portals or resources
Use of Azure Databricks and/or Data factory to perform all work.
Detect data anomalies and/or inconsistencies and resolve them promptly
Coach junior Data Engineers on tools and processes within the team
Initiative – Proactively identifies areas for improvement and automates processes resulting in efficiency gain
Problem Solving – Always follow the best practices and architecture guidelines while building data solutions
Collaboration – Collaborate with the internal and external stakeholders to manage data system enhancements including system specifications, data specifications, structures, and rules.
Organization – Execute multiple projects concurrently and account for the timeliness and quality.
Why you might stand out from other talent:Bachelor’s degree in computer science or equivalent relevant experience required
3-5+ years of knowledge of ETL Process, Data Hub/Lakes/Mart/Mesh, and Data Democratization
Exposure to Microsoft Azure, Databricks, and Data Factory is a must-have.
Working knowledge of Telecom Industry data is an advantage
Reference: 202577185
https://jobs.careeraddict.com/post/95610483
Senior Data Engineer
Posted on Sep 27, 2024 by Epsilon
Southfield, MI
Engineering
Immediate Start
Annual Salary
Full-Time
Job Description
Important: This is a hybrid role working at least 2 days per week in the Atlanta, GA or Southfield, MI office.
How You’ll Make an Impact
Epsilon is seeking a Senior Data Engineer to join our growing data science team assisting with telecommunication clients that we serve.
Work together win together: This role reports to the Vice President, Data Science
Innovate with purpose: Your role is to interpret the business logic required to turn a complex idea into a sustainable value-added process and ensure the data is usable and viable with near real-time reporting, delivering solutions to the problems presented.
What You’ll Achieve
Impact: You will design and deploy the data warehousing system to support day-to-day operations and reporting. You will also conduct preliminary testing of data sources and the data warehouse environment before extracting and loading data into the systems.
Career Growth: If successful, the Senior Data Engineer may gain exposure to other clients where you can make the most impact. Also, you may have an opportunity to level up to a lead or manager role helping to mentor more junior data engineers/ analysts and hone your leadership skills.
Who You Are
What you’ll bring with you:Must be able to adopt all necessary steps required to create analysis-ready data tables including data integration, variable preparation, and quality control. Ensures compliance with the production standards
Must be familiar with programs and maintain report forms and formats, information dashboards, data generators, canned reports, and other end-user information portals or resources
Use of Azure Databricks and/or Data factory to perform all work.
Detect data anomalies and/or inconsistencies and resolve them promptly
Coach junior Data Engineers on tools and processes within the team
Initiative – Proactively identifies areas for improvement and automates processes resulting in efficiency gain
Problem Solving – Always follow the best practices and architecture guidelines while building data solutions
Collaboration – Collaborate with the internal and external stakeholders to manage data system enhancements including system specifications, data specifications, structures, and rules.
Organization – Execute multiple projects concurrently and account for the timeliness and quality.
Why you might stand out from other talent:Bachelor’s degree in computer science or equivalent relevant experience required
3-5+ years of knowledge of ETL Process, Data Hub/Lakes/Mart/Mesh, and Data Democratization
Exposure to Microsoft Azure, Databricks, and Data Factory is a must-have.
Working knowledge of Telecom Industry data is an advantage
Important: This is a hybrid role working at least 2 days per week in the Atlanta, GA or Southfield, MI office.
How You’ll Make an Impact
Epsilon is seeking a Senior Data Engineer to join our growing data science team assisting with telecommunication clients that we serve.
Work together win together: This role reports to the Vice President, Data Science
Innovate with purpose: Your role is to interpret the business logic required to turn a complex idea into a sustainable value-added process and ensure the data is usable and viable with near real-time reporting, delivering solutions to the problems presented.
What You’ll Achieve
Impact: You will design and deploy the data warehousing system to support day-to-day operations and reporting. You will also conduct preliminary testing of data sources and the data warehouse environment before extracting and loading data into the systems.
Career Growth: If successful, the Senior Data Engineer may gain exposure to other clients where you can make the most impact. Also, you may have an opportunity to level up to a lead or manager role helping to mentor more junior data engineers/ analysts and hone your leadership skills.
Who You Are
What you’ll bring with you:Must be able to adopt all necessary steps required to create analysis-ready data tables including data integration, variable preparation, and quality control. Ensures compliance with the production standards
Must be familiar with programs and maintain report forms and formats, information dashboards, data generators, canned reports, and other end-user information portals or resources
Use of Azure Databricks and/or Data factory to perform all work.
Detect data anomalies and/or inconsistencies and resolve them promptly
Coach junior Data Engineers on tools and processes within the team
Initiative – Proactively identifies areas for improvement and automates processes resulting in efficiency gain
Problem Solving – Always follow the best practices and architecture guidelines while building data solutions
Collaboration – Collaborate with the internal and external stakeholders to manage data system enhancements including system specifications, data specifications, structures, and rules.
Organization – Execute multiple projects concurrently and account for the timeliness and quality.
Why you might stand out from other talent:Bachelor’s degree in computer science or equivalent relevant experience required
3-5+ years of knowledge of ETL Process, Data Hub/Lakes/Mart/Mesh, and Data Democratization
Exposure to Microsoft Azure, Databricks, and Data Factory is a must-have.
Working knowledge of Telecom Industry data is an advantage
Reference: 202577185
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