Senior Data Engineer

Key Responsibilities:

• Learn and understand a broad range of DHHS's data resources and their business application domains.
• Drive digital transformation initiatives across the program.
• Recognize and adopt best practices in data transformation: data integrity, test design, analysis, validation, and documentation.
• Design, implement, and support a platform providing secured access to large datasets.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Provide advanced data support to data engineering and ETL teams.
• Extract and evaluate data to ensure accurate mapping for end-user consumption.
• Collaborate with technical support teams and business process owners to ensure seamless operations service delivery.
• Develop processes and procedures to enhance the quality and efficiency of quality control checks in the production environment.
• Create and implement plans to improve data quality by identifying causes of errors or discrepancies and devising effective solutions.
• Establish robust procedures for data collection and analysis.
• Programmatically manipulate and analyze large datasets, build data pipelines, and automate tasks.
• Design and maintain efficient data processing flows.
• Support test readiness reviews, test planning work groups, and pre- and post-test briefings.
• Communicate issues effectively in writing and orally to executive audiences, business stakeholders, and technical teams.
• Support the technical and operational architecture of complex enterprise systems.
• Tune application and query performance using profiling tools and SQL.
• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using Azure and / or AWS / public cloud tools