Role Description We are seeking an experienced SAP Data Engineer to design, build, and optimize HANA-native data models and analytical objects supporting S/4HANA, BW/4HANA, and standalone HANA platforms. In this role you will translate complex business and analytics requirements into performant HANA models, and you will be the go-to expert for diagnosing and resolving HANA performance issues across the SAP landscape. The ideal candidate will combine deep expertise in HANA-native modeling — including calculation views, CDS views, AMDPs, and SQLScript — with strong performance-tuning skills and a clear understanding of HANA internals. Key Responsibilities - Design and develop performant calculation views, CDS views, AMDPs, and SQLScript procedures for analytical and transactional workloads. - Translate business and analytics requirements into well-structured HANA data models that balance flexibility, performance, and maintainability. - Optimize complex queries, joins, and aggregations through careful use of partitioning, pruning, and parallelization features of HANA. - Lead HANA performance reviews and audits, using tools such as HANA Studio Plan Visualizer, ST04, ST05, and DBACOCKPIT to identify bottlenecks. - Implement appropriate security models for HANA, including analytic privileges, roles, and row-level security. - Design and operate HANA replication scenarios using SLT, smart data integration, and smart data access. - Support data tiering using HANA Native Storage Extension and dynamic tiering where appropriate. - Build and maintain HANA-native applications and procedures consumed by Fiori, BW, and BTP services. - Lead capacity planning and sizing for HANA systems, taking into account both current and projected workloads. - Collaborate closely with Basis, ABAP, and analytics teams to ensure HANA models are integrated cleanly with the broader landscape. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. - Mentor junior developers on HANA-native development and performance best practices. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of SAP HANA development experience. - Strong hands-on expertise with calculation views, CDS views, AMDPs, and SQLScript. - Solid understanding of HANA architecture, including in-memory storage, columnar processing, and parallel execution. - Hands-on experience with HANA performance tuning tools and methodologies. - Experience with HANA replication tools (SLT, SDI, SDA). - Working knowledge of HANA security models, including analytic privileges and roles. - Familiarity with S/4HANA embedded analytics or BW/4HANA modeling. - Strong SQL skills. - Excellent troubleshooting, communication, and documentation skills. Preferred Qualifications - SAP-certified HANA modeling or development credentials. - Experience with HANA Native Storage Extension or dynamic tiering. - Exposure to HANA Cloud and SAP Datasphere. - Familiarity with BTP-based analytics tooling such as SAC. - Hands-on experience with large-scale HANA migrations and upgrades. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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.