Data Engineer- Data Warehouse

1 week ago

Singapur, Singapore Traveloka Full time

It's fun to work in a company where people truly BELIEVE in what they're doing

Job Description
  • Define data model convention and governance
  • Design, develop and maintain data pipelines (external data source ingestion jobs, ETL/ELT jobs, etc)
  • Design, develop and maintain data pipeline framework (combined open source and internal software to build and govern data pipelines)
  • Create and manage data pipelines infrastructures
  • Continuously seek ways to optimize existing data processing to be cost and time efficient
  • Ensure good data governance and quality through build monitoring systems to monitor data quality in data warehouse.
Requirements
  • Minimum 5 years experience in Data Engineering, Warehousing
  • Fluent in Python and advanced-SQL
  • Preferably familiar with data warehouse environments (eg: Google BigQuery, AWS Redshift, Snowflake)
  • Preferably familiar with data transformation or processing framework (eg: dbt, Dataform, Spark, Hive, etc)
  • Preferably familiar with data processing technology (Google Dataflow, Google Dataproc, etc)
  • Preferably familiar with orchestration tool (eg: Airflow, Argo, Azkaban, etc)
  • Understand data warehousing concept (eg: Kimball, Inmon, data vault, etc) and experience in data modeling and measure + improve data quality
  • Preferably understand basic containerization and microservice concept (eg: Docker, Kubernetes)
  • Having knowledge in machine learning, building robust API, and web development will be an advantage
  • Able to build and maintain good relationship with stakeholders
  • Able to translate business requirements to data warehouse modeling specifications
  • Able to demonstrate creative problem solving skill
  • A team player who loves to collaborate with others and can work independently when needed

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us

#J-18808-Ljbffr

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