Ab Initio ETL Senior Developer (Full Time Role)

Digitech Services - Dallas, TX

Full-time - Senior

Dallas, TX

Professional, Scientific, and Technical Services

About the position

The Ab Initio ETL Senior Developer is responsible for overseeing the extraction, transformation, and loading (ETL) processes for data warehousing. This role involves designing and integrating ETL components, developing efficient Ab Initio code, and ensuring the ETL application meets business requirements through testing and quality assurance. The developer will collaborate with project leads and participate in project meetings to ensure alignment and progress.

Responsibilities

• Oversee the extraction, transformation, and loading (ETL) processes for data warehousing.
• Design and integrate ETL components while addressing and resolving data-related issues.
• Utilize experience with ETL tools in a DB2 environment to support and enhance ETL processes.
• Implement and develop efficient Ab Initio code by performing source and target analysis.
• Contribute to the development and optimization of the ETL application, ensuring it meets business requirements.
• Create and execute comprehensive system and integration test plans to validate the ETL application.
• Develop detailed ETL specifications based on business needs to guide implementation.
• Assist in the overall design of the ETL application and actively participate in all project meetings.

Requirements

• Bachelor's degree in computer science or a related field is required.
• Strong knowledge of UNIX systems.
• High proficiency in the Ab Initio Graphical Development Environment (GDE).
• Hands-on experience with Ab Initio Meta Data Hub (MDH).
• Experience with Ab Initio EME (Enterprise Meta>Data Environment) and Control Center.
• Basic understanding of developing web services using Ab Initio Continuous Flows.
• Knowledge of Control-M Scheduler.
• Strong knowledge with additional Ab Initio tools, such as Query>IT, MDH, and BRE.
• Understanding of the Software Development Life Cycle (SDLC).
• Ability to create high-level and detailed designs represented as flow diagrams (preferably using Visio).
• Capability to translate business requirements into functional and technical specifications.
• Ability to breakdown complex issues into manageable components and designing solutions.
• Experience in designing end-to-end data warehousing and reporting solutions utilizing databases, ETL tools, and reporting frameworks.
• Ability to provide time estimates for development tasks based on design specifications.
• Experience collaborating with Production Validation (PV) and User Acceptance Testing (UAT) teams.
• Proficient in conducting detailed system impact analyses for change requests and providing accurate estimates.
• Leadership skills to mentor junior developers and provide feedback across multiple projects.
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.
• Strong Technical design and facilitation skills with driving technical solutions while working with Business and IT leadership.
• Exceptional written and verbal communication skills.
• Effective documentation skills.
• Proficient in English for communication purposes.
• Open and honest communication with peers and management regarding estimations and project timelines, including proactive updates on issues and concerns.
• Assertiveness in presenting ideas, estimates, project scope, and timelines.
• Experience with DB2 and Postgres databases.
• Familiarity with handling PHI (Protected Health Information) and PII (Personally Identifiable Information) and sensitive data.
• 10+ years experience working in data warehousing environment using Ab Initio suite.
• Knowledge of business intelligence and analytics tools such as Cognos or Tableau.
• In-depth knowledge of the U.S. healthcare system, including medical and prescription claims processing, healthcare enrollments, and provider operations.
• Awareness of security standards in data handling.

Nice-to-haves

• Master's degree in computer science or a related field.