Data Engineer managing departmental data needs and optimizing data pipelines for analytical purposes. Collaborating with advanced analytics teams and ensuring adherence to governance standards.
Responsibilities
Maintain data environments and design controls/pipelines for adding data
Build, manage, and optimize processes for extraction, transformation, and loading of data from a variety of sources
Actively participate in identifying test cases and the review process to ensure test and development work adheres to standards and specifications
Partner with business users and advanced analytics teams to meet their data requirements
Maintain up to date knowledge on new tools and approaches to data delivery
Develop rules, standards, and procedures to ensure security, usability, consistency, and data integrity
Requirements
Masters degree or equivalent (6-years)
Demonstrated ability with relevant programming/statistical tools (may include Python, SQL, AWS Data and Analytical Services and other tools)
Extensive experience with data storage techniques and file formats
Experience monitoring and tracking data quality
Extensive experience with ETL Processes
Self-starter, open to on-the-job training and desire to learn and drive process improvement
Ability to work as an effective team member and independent contributor
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