Responsibilities

  • Design, develop, and maintain ETL pipelines to enable efficient data ingestion, transformation, and integration across multiple enterprise systems.
  • Work with cloud data platforms such as Azure, AWS, or GCP, and apply ETL tools, like SSIS, ADF, and dbt, to manage complex data workflows.
  • Build and optimize interactive dashboards and analytical reports using Power BI, Tableau, or equivalent BI tools to support decision-making.
  • Work within Agile and Scrum methodologies, contributing to sprint planning, reviews, and cross-functional team objectives.
  • Create and manage data models supporting both operational reporting and advanced analytics requirements.
  • Collaborate with business and technical stakeholders to define reporting frameworks, KPIs, and performance metrics aligned with strategic objectives.
  • Ensure high data quality, accuracy, and compliance by implementing robust validation, governance, and security practices.
  • Monitor data workflows, identify performance bottlenecks, and proactively implement solutions for system optimization.
  • Maintain detailed documentation for data structures, processes, and integrations to ensure transparency and operational continuity.