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ETL Developer


Reference Number: DKILED50

ETL Developer
experience  Not Disclosed
location  Lake Forest, IL
duration  7.0 Months
salary  Not Disclosed
jobtype  Not Disclosed
Industry  Healthcare
Job Description

Description :

The SAP Data Engineer / Data Modeler Developer is responsible for designing, building, and maintaining the SAP data models to accelerate strategic decision making in the RMDx business.
This role is accountable for the decision on the type of the model that works best for each use case and assessment on the overall model and self-service.
This role will work with the team to maintain data pipelines and schedules across multiple technologies ensuring timely/ trusted/targeted data to data value consumers.
Education: Stronglyprefered - Bachelor in Engineering
Experience: Min. 4 years IT as a Data Engineer/ETL developer,
Strong SAP data modeling experience, technical experience with SAP with at 2 years of experience in SAP BI, with developing ETL pipelines in one or more of the following tools: Azure Data Factory, Azure functions, Data Flow, Event hubs, Event grids, Informatica.3+ years of experience with Databricks and/or Spark.

Skills:

Engineering SAP data, SAP data modeling experience and work with business and customers solutions.

What You’ll Work On

Establish the fundamentals for reporting by developing scalable data models to enable self-service reporting, accelerated insights, and improved actionability.
Create source-to-destination data mapping for data engineers to develop pipelines.
Partner with IT Functional leads to ensure capability design, build validation, deployment, and steady state support.
Build and execution of data models using SAP data and other sources as needed for reporting business analytics in Power BI.
Resolve and/or facilitate resolution of problems including identifying cause to prevent re-occurrence. Identify and resolve business issues, escalate issues when appropriate.
Troubleshoot production issues and conduct root cause analysis.
Responsibilities

Design and Map Technical Specifications per business requirements.
Communicate structure of models to visualization engineer and business analytics team.
Design and build Power BI certified semantic models and reports.
Hypercare support and issue resolution.
Works with the teams to maintain data pipelines and schedules across multiple technologies ensuring timely/ trusted/targeted data to data value consumers.

Required

Bachelor’s degree in engineering preferred or equivalent years of experience.
4+ years of experience in IT as a Data Engineer/ETL developer.
4+ years of technical experience with SAP with at 2 years of experience in SAP BI.
Strong SAP data modeling experience.
4+ years of experience with developing ETL pipelines in one or more of the following tools: Azure Data Factory, Azure functions, Data Flow, Event hubs, Event grids, Informatica.
3+ years of experience with Databricks and/or Spark.
Strong architecture, integration, data governance, analytics, and development background.

Skills and Competencies

Ability to digest, analyze, and think through concepts, from engineering through implementation and support.
Ability to adapt to changing priorities and work through ambiguities.
Strong business acumen. Ability to articulate technical concepts to a functional audience.

Preferred

2+ Years of SAP experience in the Manufacturing and/or Supply Chain area.
1+ Year of SAP experience in the Order to Cash and/or Finance area.

Note :

Resource to be on-site 5 days per week in either Lake Forest, IL (preferably) or St. Paul, MN.
May be posibilities to work one day remote.
7:00am - 4:00pm .
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status

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