What you will do:

• Data Pipeline Development: Build and maintain ETL pipelines to ensure seamless data flow from diverse sources into centralized repositories (e.g., data lakes, data warehouses), while upholding data quality and integrity
• Data Integration: Consolidate data from databases, APIs, streaming platforms, and external providers to create a unified foundation for analytics and reporting
• Data Transformation & Processing: Clean, normalize, and aggregate complex datasets to prepare them for analysis, reporting, and machine learning applications
• Frameworks & Best Practices: Contribute to the development of reusable frameworks and enforce best practices in coding, deployment, and pipeline orchestration
• Data Governance: Implement governance protocols aligned with company standards to ensure compliance and data security
• Monitoring & Support: Proactively monitor data systems, develop alerting mechanisms, and resolve issues to maintain system reliability and data integrity

You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.