Data Engineer

6 days ago

Jakarta, Jakarta, Indonesia SKINTIFIC Full time $60,000 - $120,000 per year

As a
Data Engineer
, you will play a vital role in bridging the gap between data engineering and analytics to deliver actionable insights that drive strategic decisions. You will design, build, and optimize scalable data pipelines, data models, and dashboards that enable business teams to make data-driven decisions with confidence

You'll collaborate closely with cross-functional teams—including marketing, sales, and operations—to transform raw data into valuable business intelligence, particularly in the fast-paced
beauty and FMCG
industries where data-driven insights are key to consumer understanding and growth.

Key Responsibilities

  • Design, develop, and maintain
    data pipelines
    and
    ETL processes
    using
    Airflow
    ,
    Python
    , and
    Google Cloud Platform (GCP)
    tools.
  • Build and optimize
    data warehouses
    in
    BigQuery
    , ensuring data integrity, scalability, and performance.
  • Develop and maintain
    Power BI dashboards
    to provide key business metrics, trend analysis, and performance insights.
  • Collaborate with business stakeholders to understand analytical needs and translate them into efficient data models and solutions.
  • Implement
    data modeling
    best practices (star/snowflake schemas) to support analytics and reporting.
  • Apply
    query optimization
    and performance-tuning techniques to enhance system efficiency.
  • Ensure high data quality, consistency, and governance across data systems.
  • Work cross-functionally with marketing, sales, and finance teams to provide insights that support campaign performance, product launches, and market expansion.

Requirements

  • Strong proficiency in SQL (BigQuery)
    and
    Python
    for data processing, transformation, and automation.
  • Hands-on experience with
    Airflow
    ,
    Docker
    , and
    Google Cloud Platform
    services (
    BigQuery
    ,
    Data Fusion
    ,
    GCS
    ).
  • Skilled in building dynamic and insightful
    Power BI dashboards
    and reports.
  • Solid understanding of
    data modeling principles
    (star/snowflake schemas) and
    query optimization
    techniques.
  • Strong analytical thinking, problem-solving skills, and attention to detail.
  • Excellent communication and collaboration skills with both technical and business stakeholders.

Preferred Qualifications

  • Bachelor's degree in
    Computer Science
    ,
    Data Engineering
    ,
    Statistics
    , or a related field.
  • 3+ years of experience in
    data analytics engineering
    ,
    data warehousing
    , or
    business intelligence
    roles.
  • Experience working in the
    beauty
    ,
    cosmetics
    , or
    FMCG
    industries, with an understanding of sales, marketing, and consumer analytics.
  • Familiarity with version control tools (e.g., Git) and CI/CD pipelines.
  • Experience with other BI tools (e.g., Looker, Tableau) is an advantage.

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