Senior Data Engineer

GoTo Group

Jakarta, ID
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Consumer
  • Post Date: 10/15/2024
  • Website: www.gotocompany.com/en
  • Company Address: , Jakarta, ID

About GoTo Group

GoTo, created through the merger between Gojek and Tokopedia, is the largest technology ecosystem in Indonesia, helping people go far, go together.

Job Description

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.

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