Sr. Data Stage Developer

Futurewave Systems; Columbus (GA); On-site; USD 90,000 - 120,000; Full time

Job summary

Futurewave Systems is actively seeking a skilled data management professional to design and develop complex ETL processes tailored to business needs. The ideal candidate will possess a rich background in IBM Data Stage and data quality software, supported by extensive experience in data analysis and modeling.

Key tasks include monitoring ETL applications for performance improvement, collaborating with technical teams, and ensuring the integrity of the data warehouse systems. Strong leadership and problem-solving skills are essential for navigating the dynamic environment of data management.

Qualifications

• 8-10 years of relevant experience in data management.
• 5 years of experience with IBM InfoSphere tools.
• Proficiency in Data Stage/Data Quality software.

Responsibilities

• Design and implement ETL processes for data integration.
• Collaborate with stakeholders and provide feedback on design documents.
• Monitor ETL applications for performance.
• Conduct code reviews and manage development processes.

Skills

Data modeling

ETL development

Data analysis

SDLC knowledge

Metadata management

Leadership

Tools

IBM Data Stage

IBM InfoSphere

Data quality software

Job description

Job Duties and Responsibilities

• Designs, develops, tests and troubleshoots applicable software packages that implement complex ETL processes in accordance with business requirements and service level agreements.
• Works with the technical business analyst to understand the design/mapping document. Provides feedback, as needed to add clarification.
• Creates data stage jobs to implement data movement/data rules to populate the EDW and/or data mart
• Works with testing team and technical business analysts to resolve any incidents
• Works with application developers, business partners, management and Data Warehouse team. Extends the data model to house additional structures as needed to meet applicable regulatory requirements. Designs data warehouse or data mart fact tables, aggregate tables, and dimensions. Delivers quality data integration projects, standards, best practices and data dictionary.
• Develops ETL audits and controls to ensure quality of data meets or exceeds defined standards and thresholds. Develops and documents systems, processes and logic required to expose existing data sets in the warehouse to end users for reporting and analytical purposes.
• Monitors ETL applications for performance and improvement opportunities. Ensures quality, consistency and security of company data and data warehouse systems. Troubleshoots and diagnoses complex software problems. Conducts packaging, release and change management.
• Communicates open items and issues to key stakeholders, including management, development teams, and business areas. Reviews requirements, architecture and design components of ongoing and upcoming Tier 1 projects. Conducts and manages code review sessions between developers to review applicable software programs and packages, stored procedures, and views.
• Keeps informed of tools, techniques and components utilized in the industry through research and applies this knowledge to system(s) being developed.
• Each team member is expected to be aware of risk within their functional area. This includes observing all policies, procedures, laws, regulations and risk limits specific to their role. Additionally, they should raise and report known or suspected violations to the appropriate Company authority in a timely fashion.
• Performs other related duties as required.

Qualifications

Experience Requirements

• 8-10 years of relevent experience
• 5 yrs IBM infosphere tool sweep
• 3-5 Data stage/ Data quality software

Preferred Knowledge, Skills, & Abilities:

• Complete knowledge of IBM Data Stage / Data Quality software
• Awareness of interactions of Data Stage with other components of the IBM InfoSphere tool suite
• Self starter – aggressive to get the job done (right).
• Banking industry experience.

Required Knowledge, Skills, & Abilities:

• Knowledge of data modeling and designing databases.
• Good knowledge of metadata, and using/managing metadata.
• Solid understanding of systems development life cycle (SDLC), software best practices and development methodologies.
• Understanding of building data warehouses for analytical and business intelligence solutions.
• Understanding of business solutions that the data warehouse serves.
• Strong technologist with excellent data analysis and ETL skills.
• Strong architecture/design/development skills.
• Strong analytical and diagnostic skills.
• Skill in developing and organizing high-quality documentation.
• Skill and flexibility managing multiple projects with large volumes of data in a rapidly changing environment.
• Skill troubleshooting issues in a multi-tier environment.
• Skill working with both business team members and technologists.
• Leadership skills with an emphasis on teamwork.