Location
Jakarta, Jakarta, Indonesia
Salary
Not specified
Type
fulltime
Posted
Today
via linkedin
Job Description
- Design, build, and maintain data pipelines to support analytics, reporting, and operational needs using modern data engineering tools and frameworks.
- Develop and maintain ETL/ELT processes that clean, transform, and enrich raw data into structured and usable forms.
- Work with cloud platforms such as AWS, Azure, or GCP to support data storage, compute, orchestration, and deployment.
- Support the development of data warehouses, data lakes, and BI platforms optimized for analytics, reporting and insight delivery.
- Collaborate with data analysts, cross-functional teams and external clients to deliver integrated and efficient data solutions.
- Optimize data infrastructure for scalability, performance, and cost efficiency.
- Implement and follow data governance standards, including data quality checks, documentation, monitoring, and security best practices.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Informatics, Information Systems, Statistics, Engineering, or a related field.
- 2–3 years of experience in data engineering or related roles, with hands-on experience using cloud platforms, preferably Google Cloud Platform (GCP); experience with other cloud providers is also acceptable.
- Strong understanding of SQL and data modeling concepts.
- Proficiency in programming languages (e.g., Python, Java, or Scala).
- Technical Skills : Strong SQL and data transformation fundamentals ETL/ELT development Cloud Data Platforms (GCP(preferable)/AWS/Azure) Strong understanding of data warehouse \& data lake concepts API integration \& programming
- Leadership Skills : Teamwork, communication \& cross-functional collaboration Analytical thinking \& problem-solving Positive Attitude \& self-motivated Attention to detail
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