Data Engineer

2 weeks ago


Dallas, United States Cloudspace LLC Full time
Job DescriptionJob Description

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.


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