Design and maintain scalable cloud-based data pipelines and models to support reliable data products
Hands-on ELT development, data quality assurance using the Audit, Balance, Control (ABC) framework
Consultative collaboration with analysts and stakeholders
Build, refactor, and maintain pipeline components of data products for a cloud environment
Analyze large and complex datasets for quality, accuracy, anomalies, and performance
Own pre-UAT testing for every change using the standard ABC framework
Assess project-specific integration restrictions/options and recommend load strategy, storage targets, and data access layer model

Requirements

3+ years in database technologies and data engineering experience
3+ years of modeling, building, and testing data products experience
2+ years in cloud data infrastructure with a SaaS delivery model
Bachelor's Degree in Computer Science, Software Engineering, Healthcare Informatics or related studies; or 7 years of relevant experience in lieu of degree.
Demonstrated ability to program advanced SQL and Python
Demonstrated ability to write and maintain scripts using Bash (Unix shell), PowerShell, or DOS batch scripting
Knowledge of data ingestion using unstructured, semi-structured, and structured data
Comprehensive understanding of both Star Schema modeling and Normalized Relational modeling
Understanding of Data Vault 2.1 is a plus.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonBashPowerShelldata modelingdata quality assurancedata pipeline developmentdata analysisData Vault 2.1ABC framework

Soft Skills

consultative collaborationcommunicationproblem-solvinganalytical thinking