Senior Data Engineer

Your responsibilities include, but are not limited to:

• Design, develop, and maintain scalable data ingestion and transformation pipelines from GDPP source systems into the enterprise data platform.
• Implement and operationalize the enterprise data model by building robust transformations that cleanse, standardize, and integrate source data.
• Build and maintain business-ready datasets and data products aligned with business requirements and data product specifications.
• Monitor, troubleshoot, and optimize pipeline performance, reliability, scalability, and cost efficiency.
• Implement data quality controls, validation frameworks, and automated checks to ensure trusted and accurate data assets.
• Work across Databricks and AWS-based environments, including S3, ECS/ECR, Python-based ETL processes, and cloud-native data services.
• Maintain comprehensive documentation for data flows, transformation logic, lineage, and operational processes.
• Collaborate with Data Architects, business stakeholders, analysts, and SMEs to translate requirements into effective data solutions.
  • KPI: Ensure high availability, reliability, and quality of enterprise data pipelines supporting business-critical reporting and analytics.