About this role
• Design, develop, and maintain scalable data pipelines and Data Products to support analytics, reporting, regulatory, and operational use cases. • Build and optimize data ingestion, transformation, and integration workflows across batch and near real-time processing environments. • Develop and maintain automated ETL/ELT processes, workflow orchestration, and scheduling mechanisms to ensure reliable data delivery. • Design and implement data cleansing, standardization, enrichment, and transformation processes to produce trusted and consumption-ready datasets. • Collaborate with business, Analytics Insights, and technology teams to translate business requirements into reusable Data Products and data solutions. • Implement and maintain data quality controls, validation rules, reconciliation processes, and exception handling mechanisms. • Monitor and troubleshoot data pipelines, perform root cause analysis, and support production incident resolution. • Maintain technical metadata, source-to-target mappings, data lineage, and technical documentation. • Ensure data solutions comply with enterprise data governance, security, privacy, and regulatory requirements. • Support system integration testing (SIT), user acceptance testing (UAT), deployment, and production implementation activities. • Identify and drive opportunities for automation, optimization, scalability, and continuous improvement across data engineering processes. • Work closely with Platform Engineering teams to ensure data solutions are operationally stable, performant, and scalable.