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Data Engineer
Job Description
Data Engineer
Key Qualifications
Preferred Skills
Ideal Candidate
· An experienced Data Engineer, preferably with experience in the insurance industry, retirement plan providers, or financial services companies.
Your Role
Why Join Us?
Key Qualifications
- · Proficiency in Azure Data Factory (v2), Azure Data Lake, and Azure Synapse Analytics.
- · Experience with Microsoft SQL Server and data modeling using Power BI.
- · Experience with Python and Apache Spark.
- · Proven track record of working in an Agile environment.
- · Excellent communication skills with the ability to mentor others within the organization.
- · Strong problem-solving skills with the ability to lead others in resolving complex issues.
- · Strong analytical thinking and attention to detail.
- · Must be able to work in a collaborative environment.
Preferred Skills
- · Familiarity with SSAS Multi-Dimensional Cubes.
- · Experience in maintaining and developing SSRS reports.
- · Knowledge of CI/CD and DevOps methodologies.
- · Demonstrated ability to improve data reliability, efficiency, and quality.
- · Experience working in a regulatory compliance environment (HIPAA, PCI, SOX, etc.).
- · Bachelor’s degree in a relevant discipline.
Ideal Candidate
· An experienced Data Engineer, preferably with experience in the insurance industry, retirement plan providers, or financial services companies.
Your Role
- · Develop data pipelines to ingest data from multiple disparate sources into our data lake.
- · Assist in the conversion of legacy Multi-Dimensional Cubes to modern Power BI tabular models.
- · Create CI/CD pipelines that incorporate automated testing for all build and deployments.
- · Refactor MDX-based SSRS reports into SQL queries to aid in the deprecation of Multi-Dimensional Cubes.
Why Join Us?
- · Be part of a cloud-first data environment doing green-field development and support of legacy processes.
- · Collaborate in a team environment with a broad range of application and data developers, IT Services engineers, and various line-of-business end-users.
- · Contribute to the modernization of our Data Estate through continuous improvement initiatives.
Meet Your Recruiter
Perry Gross
Text me about this job - 972-419-1628
Please include your name and Job Title in your Text.
Thanks!
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