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Data Engineer

Foom Lab Global

Daerah Khusus Ibukota Jakarta

On-site

USD 15.000 - 25.000

Full time

Yesterday
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Job summary

Foom Lab Global is seeking a Data Engineer to enhance data management and reporting processes. The ideal candidate will focus on converting raw data into actionable insights and developing robust data architectures. This role requires expertise in Python and SQL to ensure high availability and secure access to data for business operations.

Qualifications

  • Minimum 2 years experience as a Data Engineer or exposure as a Data Scientist.
  • Strong knowledge in relevant tech stack and databases.
  • Good knowledge of programming and systems architecture.

Responsibilities

  • Convert raw data into usable data.
  • Manage data repositories and architecture.
  • Develop and maintain data tools and dashboards.

Skills

Python
SQL
Data Architecture
ETL Process

Education

Background in Engineering, Computer Science, Mathematics, Statistics

Job description

FOOM Lab Global is an Indonesian-based consumer product startup with a mission to aid adult smokers move away from combustible smoking and encourage people to shift to safer ways of consuming nicotine. We are determined to provide the best quality e-cigarette product with unique and hyper-localized flavors. Our main differentiators against competitors are our competitive price point; our refillable pods; and our e-liquid that is produced in-house and locally.

Responsibilities:

  • Convert Raw data into usable data.
  • Manage data repositories, Architecture Data Platform, Data Stores, ETL Process, Integration Platforms.
  • Develop and maintain data architectures and make data available for business operations and analysis (provide high availability, flexibility, accessibility, and security).
  • Develop tools, workflows, processes and dashboard that help you acquire data from multiple sources.

Requirements:

  • Background in Engineering, Computer Science, Mathematics, Statistics or related.
  • Min 2 years experiences as Data Engineer or have exposures as a Data Scientist
  • Strong knowledge in Python, SQL, and other related tech stack and database.
  • Must have good knowledge of programming, sound knowledge of systems and technology architectures, and in-depth understanding of relational databases and non-relational data stores.
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