Senior Data Engineer

Jakarta
HoldCo - COO Office – - /
Permanent /
On-site

What You Will Do

    • explore existing and new data sources and facilitate the integration to the Data Warehouse.
    • Design and develop Data Quality Framework across Data Platform.
    • Design, implement Data Model for enterprise data warehouse.
    • Classifying data based Data Governance policy and Data Access Framework.
    • Develop data definition and metrics and maintain the consistency across the Data team.
    • Modify existing structured and unstructured data integration solutions for rapidly evolving business needs..
    • Collaborate with a cross-functional team to resolve data quality and operational issues, as  well as delivering solutions to meet business needs.
    • Create conceptual models and data flow diagrams.
    • Participate with end users to gather requirements and consult on data integration solutions.
    • Receive and adhere to project delivery deadlines.  
    • Migrate code across environments and leverage a source code management system.
    • Design, build, and optimize data pipelines, ETL processes, and data infrastructure in the field.
    • Develop and maintain proper documentation for data pipeline and service.

What You Will Need

    • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related fields.
    • 2-5 years of experience in data engineering, software engineering, or a similar role.
    • Proficiency in programming languages such as Python, Java, or Scala.
    • Solid understanding of SQL, database management systems, and data modeling concepts.
    • Experience with big data technologies such as Hadoop, Spark, or Kafka.
    • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
    • Strong problem-solving skills and attention to detail.
    • Ability to design and implement scalable data pipelines and ETL processes.
    • Excellent communication and collaboration skills to work effectively with cross-functional teams.
    • Deeper understanding of data engineering concept, programming language, and big data technology.