Data Engineer Specialist - Data Management Technology O724

Indonesia

CIMB

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Strategy and Planning 

  • Lead and performn continues improvement by in house develepments related to data initiatives in Data Management and DPO
  • Provide strategic direction in defining integration MADAM, EDP and Data Governance Platform.
  • Collaborate with cross-functional teams to understand data needs and deliver integrated data solutions.
  • Collaborate with Data Architecture to provide the overall data strategy and roadmap, driving innovation and efficiency.
  • Design, develop, and maintain SQL and ETL programs and applications from disparate sources into a unified data warehouse or data lake to support business needs on-premises and cloud base.
  • Integrate data from multiple sources and ensure its availability and accuracy for analytics and reporting.
  • Create and maintain complex data models to support data warehousing, analytics activities and dashboards using SQL, SSIS, Python or other programing language for on premises and cloud base.
  • Design and optimize database and perfomance Data Management’s platform for performance and scalability. i.e. MADAM (Informatica, Data Governance Platform, Enterprise Data Platform (EDP), etc)
  • Implement data validation and quality checks to ensure the integrity and reliability of data.
  • Monitor and optimize the performance of data pipelines, ETL jobs, and databases.
  • Enhance data infrastructure to support growing data volumes and complex analytics.
  • Perform In-house developments for internal Data Management initiatives to support Business/ Support units’ requirements. E.g. MADAM continues improvements, EDP and other initiatives.
  • Data Engineering Certification (e.g. SQL, ETL)
  • Informatica Platform (Application and ETL)
  • Cloud engineering

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture Data governance Data management Data pipelines Data strategy Data warehouse Data Warehousing Engineering ETL Informatica Pipelines Python SQL SSIS

Region: Asia/Pacific
Country: Indonesia

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