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Analytics Engineer

We are looking for a Analytics Engineer to help expand the capabilities of the data team. We are obsessed about delivering a seamless and frictionless retail experience for our customer. We strongly believe that we can only deliver these amazing experiences for our customers and merchants when we drive a work culture which inspires innovation, rewards risk-taking and celebrates success. If you want to take more ownership of your career, then you’re ready to be part of Setel.

In This Role You Will:
  • Collaborate with product, engineering and data team to define and inventorise the key data sources for all critical product metrics.
  • Collaborate with data engineer to integrate all key data sources in the Redshift data warehouse for a single source of truth and own the performance tuning and monitoring of data warehouse.
  • Collaborate with data engineer to implement best-in-class extract, transform and load (ETL) architecture and processes to enhance productivity of data consumers.
  • Implement good engineering practices of version control (Git) and quality testing into our data development processes in collaboration with data team members.
  • Automate the production of metric or fact tables through SQL transformation jobs which will act as the core foundational datasets required for product metrics.
  • Continuously enhance the reporting tools, methods and processes used by internal customers within Setel through continuous automation.
  • Collaboratively work with engineers, product managers and DAs to clearly validate product data requirements for new features.
  • Mentor and guide fellow data team members on good coding best practices.

You’re a great fit if you have:

  • Minimum B.S. Degree in Computer Science or a related quantitative/technical field.
  • Experience working in a consumer product company with large amounts of data.
  • 3+ years of data engineering or technical data analyst experience.


Technical & Functional Skills:

  • Ability to write optimised and efficient SQL queries.
  • Proficiency with Python is a bonus.
  • Familiar with data warehouses and data lakes such as Redshift, Athena, and BigQuery.
  • Familiar with data warehouse modelling concepts e.g. dimensional data modelling and schema design.
  • Familiar with data orchestration frameworks e.g. Airflow to schedule and manage ETL jobs.
  • Experience with cloud computing technologies and environments e.g. AWS, GCP, Azure.


Soft Skills:

  • Ability to work independently and collaboratively with others in the data team and different functional teams e.g. product and engineering.
  • Positive team player with strong collaboration skills.
  • Able to take ownership and drive initiatives.
  • High energy, self-motivated and able to thrive in a fast-paced environment.
  • Humble and customer-centric.

Bonus Qualifications

Setel Ventures Sdn Bhd is fully committed to the protection of Personal Data and the compliance of Personal Data Protection Act 2010 (“Act”). Setel Ventures Sdn Bhd assures that any Personal Data collected, stored, processed and used for the purpose of this registration/application shall comply with the requirements of the Act and only to be used within the Setel Ventures Sdn Bhd.

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