Role Description The Sr. ETL Developer provides technical leadership and hands-on expertise with respect to the analysis, design, development, and support of Golden 1’s Informatica ETL implementation. This is a senior position responsible for assisting the ETL Architect with implementation methodologies including standards, design patterns, and best practices for enterprise data warehouse development. The Sr. ETL Developer will assist in leading other ETL developers, ensuring an efficient, high-performance implementation that fully supports the business’ data needs. - Helps create standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment. - Installs, configures, and administrates Informatica PowerCenter and IDQ. Informatica Web Services Hub experience also desired. - Responsible for workflow and mapping analysis, design, development, testing, and configuration. - Functions as both an expert and lead technical resource on ETL projects throughout the project lifecycle. - Provides support for enterprise data warehouse ETL jobs and processes. - Diagnoses and remedies technical problems to ensure platform uptime and application service levels are met. - Supports, maintains, and monitors the health of the platform and associated processes. - Writes high-quality processes utilizing structured development techniques to support process components and development. - Utilizes an agile-based approach to implementing data services and solutions. - Recommends improvements to ETL processes to enhance data delivery, data quality, and overall processing efficiency. - Partners with quality assurance testing teams to identify errors and confirm business specifications have been achieved. - Able to organize and lead code releases using native Informatica PowerCenter capabilities. - Develops support guides and run books for operational support purposes. - Collects information to analyze and evaluate existing or proposed application designs. - Maintains system and programming guidelines by adhering to the software development lifecycle; develops and maintains artifacts related to standards and architecture. - Assists with the definition and implementation of processes, policies, standards, and procedures to assure compliance with corporate and regulatory policies. - Effective oral and written communication skills required to train, direct, and evaluate staff, diagnose, correct, and resolve system problems. - Maintains a thorough understanding of state and federal laws and regulations related to credit union compliance including bank secrecy and anti-money laundering laws appropriate to the position. Qualifications - Bachelor’s degree in Computer Science, Management Information Systems, or comparable discipline or equivalent work experience. - Minimum of five years’ experience designing, developing, and supporting enterprise data warehouse ETL implementations. - Experience with Cloud implementations is essential. - Highly experienced working with Kimball-based data warehouse implementations. - Strong understanding of all aspects of dimensional modeling as it pertains to ETL design and development. - Must have prior experience designing loads for daily and monthly snapshot facts, accumulating snapshot facts, factless facts, type 1, 2, 3, and other hybrid dimension types as well as 3NF and other modeling techniques. - Strong understanding of enterprise architecture, security, management, and monitoring. - Strong understanding of data management best practices and concepts including data quality, reference data, metadata, and data lineage. - Strong SQL skills expected. - Data Integration experience necessary. - This is a master developer role. Requirements - Availability for emergency and on-call duty 24 hours a day, 7 days a week, as needed. - Occasional travel may be required. - Lift and carry communications equipment and computer hardware weighing up to fifty pounds. - Must possess sufficient manual dexterity to skillfully operate applicable computer hardware, a variety of hand tools, and standard office equipment. - May work additional hours to accomplish tasks. Physical Requirements - Prolonged sitting throughout the workday with occasional mobility required. - Corrected vision in the normal range required to configure, test, and troubleshoot network server hardware and data. - Hearing within normal range. A device to enhance hearing will be provided if needed. Licenses/Certifications - Possession of a valid California Driver’s License is required.

• Get up to speed on payment and billing data APIs • Understand the business model and the data behind it • Brainstorm data and ETL/ELT pipeline architecture • Gather business needs from relevant teams • Develop integrations into the Data Warehouse • Model raw data into clean tables • Automate processing with Python scripts • Build clear dashboards for business teams • Implement data validation tests

• Diseñar, entrenar y validar modelos de machine learning y deep learning. • Participar en proyectos de clustering, clasificación, regresión y detección de anomalías. • Aplicar técnicas de NLP para extracción de información, resumen automático y análisis semántico. • Integrar modelos en pipelines productivos. • Colaborar en pruebas de concepto (POC), validaciones funcionales y despliegues en cloud (Azure, Google Cloud). • Contribuir a la documentación técnica y al plan de formación para usuarios y equipos de soporte. • Asegurar el cumplimiento de los estándares de IA Responsable y normativa europea de IA.

• Provide architectural oversight for the company’s data platform and related initiatives, ensuring alignment with company standards and best practices • Assist development initiatives with design reviews, offering guidance on architecture and data modeling • Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability • Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC) • Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards • Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance • Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale • Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise • Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture.