Data Analytics Engineer

1 week ago


West Jakarta Jakarta, Indonesia Sadhana Ekapraya Amitra PT Full time 120,000,000 - 240,000,000 per year

ABOUT THE ROLE

We are building a new team for data analytics to modernize and deliver B2B products at high quality and efficiency. As a data engineer you will mostly work with modern data stack to grow and empower our teams and to monitor sales activities. A young mind with good work ethics is highly valued.

QUALIFICATION

Currently residing in Jabodetabek

  1. 1-2 years of experience in data engineering role
  2. Have a degree in related to computer science OR at least 2 years of experience in data engineering
  3. Have experience with Google Sheet, Python, SQL, bash scripting, dbt, and Tableau Public (Desktop)
  4. Good understanding of SDLC, version control and deployment strategy
  5. Preferably have demonstrable experience with one or more of these:

  6. Snowflake

  7. Prefect, Dagster, or Astronomer
  8. Web scraping libraries and applications

WHAT WE OFFER

  1. Work-from-office hours: 8.30 AM PM
  2. The opportunity to have permanent role
  3. Modern data stacks 4. Complimentary coffee

YOUR RESPONSIBILITIES

● Data Warehousing

  1. Integrate and automate data ingestion from many platforms into Snowflake with ETL/ELT pipelines ○ Refactor and tune Python/SQL scripts to optimize compute costs
  2. Participate in architecture discussion and improvement initiative

● Analytical Modeling

  1. Explore and understand the analytics needs of Human Resource team and Sales team
  2. Develop, maintain and optimize data models based on domain knowledge within each department
  3. Write dbt tests and documents data models both for the team and the business users
  4. Implement code versioning
  5. Deploy data models with safe and secure strategy into Snowflake

● Data Operation & Enablement

  1. Collaborate closely with human resource and data team lead to understand business problem and data solution opportunity
  2. Translate user requirements into Tableau & Looker dashboard prototypes
  3. Own data sources and responsible for their freshness in Looker Studio
  4. Respond to ad hoc analytics demands
  5. Write templated monthly report for business users


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