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In addition to the Data Integration ETL Developer responsibilities, the position performs the following:
Develop and document a high level Conceptual Data Process Design for review by
data analysts and quality assurance analysts that will serve as a basis for
writing ETL code and designing test plans.
Provide accurate development effort estimates based on available preliminary business requirements of projects and refine as necessary in order to determine project duration, cost, and resource needs
Review and understand data specifications and physical data models in order to write extract, transform and load (ETL) code and construct ETL components.
Create detailed design specifications that document for the extraction, transformation and load processes (ETL) coded for audit and maintainability purposes.
Understand the Information Management (IM) software development life cycle (SDLC) and adhere to development team software standards and best practices to write code effectively for projects
Write efficient ETL code within established timelines to successfully deliver projects on schedule
Thoroughly unit test ETL code to ensure it is free of errors. Document the results of unit testing prior to hand off of tested ETL code to the Quality Assurance department
Participate in regular technical peer review sessions to identify non-adherence to standards, design and performance issues/improvements in ETL code.
Provide team status in various projects, escalate issues as needed, assess and communicate risks to the development schedule and project to represent the Data Integration Development team’s interests in cross-functional project teams and ensure project success.
Facilitate cross-functional problem solving sessions to arrive at optimal solutions accounting for stakeholder needs (e.g. business requirements and delivery dates) to ensure successful project delivery.
Coordinate Data Integration Development work with other internal IM staff and other technical areas in IS within the scope of an assigned project to ensure stakeholder needs are successfully met.
Develop end-to-end system design for specific data warehouse applications to meet the goals of business users of the data.
Seek out best practices and make recommendations for client implementation to find opportunities for improvements in development processes.
Develop schedule specifications to automate and optimize ETL job workflow (using the Control-M Job Scheduling Software) that can be supported in a production environment and meet established service level agreements (SLA) with stakeholders.
Analyze several aspects of code prior to release to ensure that it will run efficiently and can be supported in the production environment.
Manage Data Integration Development Team deliverables in order to successfully deliver end-to-end projects on schedule