• Designing and developing scalable and efficient data pipelines, ETL processes, and data integration solutions. • Ensuring data quality and reliability by implementing data validation, cleansing, and quality monitoring processes. • Optimising database performance by tuning queries, implementing indexing strategies, and analyzing performance metrics. • Collaborating with cross-functional teams to gather requirements, understand data needs, and develop solutions. • Staying up-to-date with emerging technologies and industry trends in data engineering. • Establishing and enforcing best practices and standards for data engineering.

• Designing, developing, and maintaining scalable data pipelines that ingest, reconcile, and validate Medicaid program data from MESH and connected CMS systems including T-MSIS, MBES, MacFin, SPoTT, and CMCS DataConnect • Building and operating data ingestion workflows that support mixed-modality content — spreadsheets (Excel, CSV), documents (PDF, Word), API feeds, and enterprise data services — with full lineage and audit traceability • Implementing the data layer that powers the Master Detailed Budget Table (MDBT) modernization, including parsing legacy and modern MDBT formats, normalizing line items (e.g., MMIS 2A/B, 4A/B, 5A/B/C), and validating total computable, state share, and federal share calculations • Developing API services to facilitate bidirectional data integration between MESH (Salesforce) and external systems, including standardized integrations with T-MSIS for compliance and Data Quality Assessment status • Building data processing workflows on AWS (S3, Glue, EMR, Athena, RDS/Redshift) and, where applicable, Databricks, Spark, and Hive for big-data processing • Creating data products that feed Power BI dashboards and Salesforce reports, ensuring consistent definitions, refresh schedules, snapshot management, and data-quality indicators • Implementing automated data quality, validation, and reconciliation jobs that flag funding decreases, mismatched FFP rates, missing submissions, and other anomalies • Supporting AI/ML pipelines for the MESH platform — including features for AI-assisted submission analysis, predictive analytics, and anomaly detection — by providing curated, governed training and inference data • Writing unit and integration tests for all data processing code and partnering with DevOps engineers on CI, CD, and IaC (GitHub Actions, Terraform) so pipelines deploy reliably • Performing code reviews, contributing to data-engineering standards, and mentoring less experienced engineers on pipeline design, performance optimization, and observability • Maintaining data security and privacy controls for data at rest and in transit (FIPS 140 validated encryption, KMS-managed keys, least-privilege access) consistent with CMS ARS 5.1 and FedRAMP Moderate baselines • Documenting data dictionaries, lineage, calculation logic, and pipeline runbooks in CMS-approved tools (Confluence, GitHub) to support transparency, audit, and contract transition activities

• Liderar y ejecutar el desarrollo de pipelines de datos en proyectos de analytics, con una visión integral de arquitectura de datos end to end. • Colaborar estrechamente con el líder de equipo y el equipo de implementación, entregando visibilidad técnica del avance de las iniciativas. • Apoyar en la definición, estimación y planificación de tareas para productos analíticos bajo metodologías ágiles. • Liderar la gobernanza técnica de la solución junto al cliente, participando en decisiones clave. • Diseñar e implementar arquitecturas de soluciones de datos en la nube de forma colaborativa. • Participar en el modelado de datos y desarrollo de modelos analíticos corporativos. • Investigar y profundizar en tecnologías necesarias para alcanzar los objetivos del proyecto.

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours. You will be a senior testing leader within the Mondelēz International Digital & Technology organization, responsible for leading end-to-end quality assurance and testing activities across large-scale transformation programs, including the o9 Enterprise Operations Planning (EOP) platform rollout. You will own the testing strategy, manage testing cycles, and drive quality outcomes across multiple workstreams and regional stakeholders in the CPG industry The Data Catalog Specialist is responsible for the design, implementation, and maintenance of the data catalog within the S/4HANA landscape. This role ensures that data assets are well-defined, easily discoverable, and properly governed, enabling data-driven decision-making across the organization. Key Responsibilities: • Data Catalog Implementation & Management: o Document data elements in scope in pre-defined format o Support design and implement the data catalog solution, integrating it with the S/4HANA environment in line with MDLZ strategy. o Support configuration and customization of the data catalog tool to meet organizational needs. • Metadata Management: o Organize and document metadata in line with MDLZ standards and policies. o Collaborate with data owners and stewards to capture and curate metadata for S/4HANA data assets. o Support implementation of metadata extraction and enrichment processes. o Ensure metadata quality and consistency across the data catalog. • Data Discovery & Search: o Train users to easily discover and understand data assets through the data catalog. o Support search functionality optimization and indexing for efficient data discovery. o Support development of a user-friendly interface for browsing and exploring the data catalog. • Data Governance & Compliance: o Support data governance initiatives by maintaining of a central repository for data definitions and lineage. o Document quality and business rules and standards for data and support implementation of data quality solution. o Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) by documenting data sensitivity and access controls. • S/4HANA Integration: o Work closely with S/4HANA Finance teams to understand their data requirements and collaborate with other functional teams on requirements for data cataloguing. o Support data cataloguing tool integration with S/4HANA data sources, including tables, views, and APIs.• Collaboration & Communication: o Collaborate with data owners, data stewards, data architects, and business users to ensure the data catalog is aligned with functional requirements o Provide training and support to data users on how to use the data catalog effectively. More about this role Qualifications: - Education: Bachelor's degree in Computer Science or Information Management, or a related field. - Experience: - 5+ years of experience in data governance, metadata management, or data catalog implementation. - Strong understanding of data governance principles and practices. - Hands-on experience with data catalog tools (e.g., Ataccama, Collibra, Informatica Enterprise Data Catalog). - Experience with S/4HANA data structures and data flows. - Familiarity with data modeling and data warehousing concepts. - Experience and/or understanding of Finance function is an added advantage - Skills: - Proficiency in SQL and data manipulation languages - preferred - Excellent communication and interpersonal skills. - Strong analytical and problem-solving abilities. - Ability to work independently and as part of a team. Preferred Qualifications: - Experience with SAP Information Steward or other SAP data governance tools. - Knowledge of SAP Master Data Governance (MDG) - Experience with cloud-based data catalog solutions - Certifications in data governance or metadata management Responsibilities Specific to S/4HANA: - Understanding of S/4HANA Data: Possess a strong understanding of the S/4HANA data model, including key tables, business objects, and data relationships. - Understanding of SAP Fiori Apps: Knowledge of how data is presented and consumed through SAP Fiori apps. Key Performance Indicators (KPIs): - Data catalog adoption rate. - Number of data assets documented in the data catalog. - Data quality scores for key S/4HANA data elements. - Reduction in time spent searching for data. - Increased data literacy among business users. No Relocation support available Business Unit Summary Headquartered in Singapore, Mondelēz International's Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Project and Program Management Business Capability