Data Engineer & Analytics

Kredivo Group
Daerah Khusus Ibukota Jakarta
IDR 200,000,000 - 300,000,000
Job description

As a Data Engineer and Analyst, 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, have a strong sense of duty, and be 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 in current data warehousing concepts (using technologies like Redsift, Spark, Hadoop, web services, etc. to support business-driven decision making).
  • SQL and database scripting.
  • Data manipulation scripting languages (like Python or Scala).
  • Data Science toolsets and technology stack.

About you:

  • A passionate and curious individual in Data Engineering and Analytics subject areas.
  • 1-3 years of relevant experience in Data Engineering, Data Warehouse, Business Intelligence, or 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 languages.
  • Good knowledge in creating workable business dashboards.
  • Basic proficiency or experience in infrastructure setup using cloud services (i.e. AWS, GCP, Azure).
  • Strong passion for data engineering or business intelligence areas, with the ability to search for or create solutions.
  • Good communication skills in Bahasa and English, especially in explaining technical concepts.
  • Good workable attitude, something we could invest time to develop.
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