Lead data strategy and governance for CCOR data owner organization within JPMorgan Chase’s Risk Management and Compliance function.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Implement strategic plans to deliver data solutions that support business operations and objectives
Provide data product ownership for CCOR data product lines for implementation of CCOR Data Lake
Manage execution of projects and related milestones, mitigating risks and bottlenecks
Collaborate with partners to ensure critical data is well-documented and classified
Develop and oversee processes to identify, monitor, and mitigate data risks throughout the data lifecycle
Requirements
Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field
Perform hands‑on functional, integration, regression, and end‑to‑end testing; design test strategy, plans, and detailed test scenarios; coordinate defect triage and resolution; support test data preparation and environment validation; manage offshore testing activities; report status and metrics to stakeholders.
Compensation
Pay Rate: $50/hr
Responsibilities
Perform hands‑on functional, integration, regression, and end‑to‑end testing
Design Test Strategy, Test Plan, estimate and track testing efforts, develop, review, and execute detailed test scenarios and test cases based on functional requirements and banking business workflows
Actively participate in and coordinate defect triage, collaborating with developers, business analysts, and Testing teams to investigate, prioritize, and resolve defects
Perform defect retesting, regression validation, and root cause investigation to ensure quality fixes
Support test data preparation, test environment validation, and troubleshooting of testing dependencies
Lead and manage a team of data engineers to design, build, and optimize enterprise-wide data platforms using Azure Databricks and related technologies.
Responsibilities
Lead and mentor a team of data engineers, conducting code reviews and ensuring development standards
Support troubleshooting and incident management for data-related issues in production
Collaborate with business stakeholders, data scientists, and other team members to gather requirements and translate them into technical specifications
Lead the design, development and deployment of scalable and high-performance data pipelines using Azure Databricks
Collaborate with data scientists, analysts, and other engineering teams to deliver business-critical insights
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
Nice to have: Microsoft Certified: Azure Data Engineer Associate (DP-203)
Nice to have: Databricks Certified Data Engineer Professional
Senior Data Tester responsible for designing, executing, and documenting data validation tests, including ETL/ELT processes and data lake integrations.
Responsibilities
Diseñar, ejecutar y documentar casos de prueba enfocados en validación de datos.
Validar procesos de integración, transformación y carga de información (ETL/ELT).
Ejecutar consultas SQL para verificar la calidad, consistencia e integridad de los datos.
Analizar información proveniente de diferentes fuentes y validar resultados esperados.
Identificar, documentar y dar seguimiento a defectos e incidencias detectadas durante las pruebas.
Requirements
Nice to have: Databricks
Nice to have: Python
Nice to have: Jira
Nice to have: Confluence
Nice to have: metodologías ágiles (Scrum o Kanban)
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