The Data Engineer ETL Developer is an intermediate-level position responsible for the design, development, and implementation of robust and scalable data integration solutions. The successful candidate will be a key member of the Oracle Ledger program, a critical initiative focused on transforming upstream data into the CIT template for loading into Oracle Financials SaaS. This role is a core part of the Technology team, focusing on building and maintaining the firm's critical data pipelines using the Ab Initio platform. The overall objective is to contribute to high-quality data systems analysis and programming activities that support our strategic financial data objectives.

Responsibilities:

• Design, develop, and maintain high-performance, resilient, and scalable ETL processes using the Ab Initio suite of products (GDE, Co>Operating System, EME) to transform upstream data into the required format for Oracle Financials SaaS.

• Conduct detailed data analysis, data profiling, and data quality assessments to ensure the integrity of data moving through the Strategic Ledger pipelines.

• Translate business requirements from the Strategic Ledger program into technical specifications for ETL jobs and data models.

• Develop and optimize complex SQL queries for data extraction, transformation, and loading across various database platforms.

• Create and manage metadata within the Ab Initio Enterprise Meta>Environment (EME), ensuring proper version control and adherence to development standards for the program.

• Develop Unix/Linux shell scripts for job automation, scheduling, and file manipulation related to the data transformation process.

• Monitor and control all phases of the development process, including analysis, design, construction, testing, and implementation.

• Provide operational support for production applications, troubleshoot issues, and perform performance tuning to meet business SLAs.

• Utilize in-depth specialty knowledge of ETL and Ab Initio to analyze complex data-related problems and recommend efficient solutions.

• Collaborate with data architects, business analysts, and other technology groups to ensure solutions are aligned with enterprise standards and business needs.

• Ensure essential procedures are followed and help define operating standards and processes for the ETL framework.

• Serve as an advisor or coach to new or lower-level analysts, sharing expertise in Ab Initio and data integration best practices.

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets. This includes driving compliance with applicable laws, rules, and regulations related to data handling, adhering to Policy, applying sound ethical judgment, and escalating, managing, and reporting control issues with transparency.

Qualifications:

• Hands-on experience in data systems analysis and ETL development.

• Proven, in-depth expertise with the Ab Initio platform (GDE, Co>Operating System, EME) is mandatory.

• Strong proficiency in SQL and experience with relational databases (e.g., Oracle, Teradata).

• Solid experience with Unix/Linux environments and shell scripting.

• Demonstrated experience in managing and implementing successful data-centric projects, preferably within the financial services industry.

• Strong understanding of data warehousing concepts, data modeling, and ETL best practices.

• Experience with large-scale data transformation projects and loading data into financial systems (e.g., Oracle Financials, SAP) is highly desirable.

• Ability to work under pressure, manage deadlines, and adapt to unexpected changes in requirements.

• Excellent problem-solving and analytical skills.

• Experience with job scheduling tools (e.g., Autosys) is a plus.

• Working knowledge of consulting/project management techniques/methods is beneficial.