Role Overview
The Data Engineer will design, build, and maintain data pipelines and infrastructure to support analytics and reporting across the organization. This contract, on-site role is based in Jakarta, Indonesia, and involves working closely with data analysts, data scientists, and business teams to understand data requirements and translate them into scalable technical solutions.
What You Will Do
Developing PySpark jobs on distributed data platforms, implementing and monitoring ETL workflows, optimizing data processing performance, and ensuring data quality and reliability.
Why It Might Be a Fit
Strong data engineering skills, proficiency in data modeling and data warehousing concepts, and applied data analytics skills to support business stakeholders with accessible, well-structured data and basic data exploration.
Requirements
- Strong data engineering skills, including experience building and maintaining data pipelines and working with distributed data processing tools such as PySpark.
- Proficiency in data modeling and data warehousing concepts to design scalable, reliable data structures for analytics and reporting.
- Hands-on experience with Extract Transform Load (ETL) processes, including developing, scheduling, and monitoring ETL workflows.
- Applied data analytics skills to support business stakeholders with accessible, well-structured data and basic data exploration.
- Solid programming skills in Python and familiarity with SQL; experience with big data ecosystems (e.g., Hadoop, Spark, or related platforms) is highly beneficial.
- Knowledge of cloud-based data platforms and services (e.g., AWS, Azure, or GCP) and version control tools such as Git.
- Strong problem-solving skills, attention to detail, and the ability to work effectively in an on-site, collaborative environment in Jakarta.
To apply for this job please visit linkedin.com.
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