Data Engineer & Analytics

Reposted 12 Days Ago
Be an Early Applicant
DKI Jakarta
In-Office
Junior
Fintech • Payments • Financial Services
The Role
As a Data Engineer, you will develop scalable data solutions, create documentation, solve data integrations, and collaborate with various teams to enhance data quality and insights.
Summary Generated by Built In

As a Data Engineer and Analytic you will be tasked with empowering internal stakeholders to delve deep into the complexities of the data in our warehouse. You will work closely with Product, Engineering, and Data teams to build scalable data pipelines and design data analytics engines that empower deep insights for users. The person in this position will take work seriously, has a strong sense of duty, and is disciplined. The position will generally be task oriented, requiring someone with a conservative, careful, and cautious approach to work.

About the job:

  • Design and develop scalable business data solutions across the entire data supply chain.
  • Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, etc.).
  • Solve for complex data integrations across multiple systems.
  • Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.
  • Expertise (can teach/instruct others): in current data warehousing concepts (using technologies like Redsift, Spark, Hadoop, web services, etc to support business-driven decisioning)
  • SQL and database scripting
  • With data manipulation scripting languages (like Python or Scala)
  • With Data Science toolsets and technology stack

About you:

  • A passionate and curious individual in Data Engineering and Analytics subject areas
  • 1-3 years of any relevant experiences in Data Engineering, Data Warehouse, Business Intelligence, Analytics
  • Good proficiency in writing SQL, either in RDBMS (i.e. MySQL, PostgreSQL, etc) or OLAP (i.e. BigQuery, Redshift, Oracle, etc.)
  • Ability to write robust and scalable code in Python or other scripting programming language
  • Good knowledge in creating a workable business dashboard.
  • Basic proficiency or experience in infrastructure setup using cloud services (i.e. AWS, GCP, Azure).
  • Strong passion in data engineering or business intelligence areas, ability to search or create solutions.
  • Good communication skills in Bahasa and English. Mostly explaining technical things.
  • Good workable attitude, something we could invest time to develop.

#LI-DI1

#LI-AL1

    Top Skills

    AWS
    Azure
    BigQuery
    GCP
    Hadoop
    MySQL
    Oracle
    Postgres
    Python
    Redshift
    Redsift
    Scala
    Spark
    SQL
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    The Company
    1,707 Employees

    What We Do

    Kredivo Group is Southeast Asia’s leading provider of digital financial services through its brands Kredivo, KrediFazz and Krom. Kredivo is the leading digital credit platform in Indonesia and Vietnam that gives customers instant credit financing for ecommerce and offline purchases, and personal loans, based on real-time decisioning. Kredivo users can buy now and pay later across the entirety of Indonesia’s retail commerce network with one of the lowest interest rates amongst digital credit providers in the country. Krom Bank Indonesia (formerly known as Bank Bisnis Internasional, IDX: BBSI) is the group’s bank entity and the operator of the Indonesian neobank Krom.

    Kredivo Group is backed by leading financial and strategic investors such as Mizuho Financial Group, Square Peg Capital, Jungle Ventures, Naver Corp, Mirae Asset, Telkom Indonesia and Victory Park Capital among others

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