Data Engineer- Data Warehouse

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

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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.

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Requirements

• • Minimum 3 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

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