Data Engineer jobs in Indonesia
Data Engineer
Bluebirdgroup
Data Engineer - Data Warehouse
PT Trinusa Travelindo
Master Data Engineer: Data Quality & Azure Innovation
Michael Page
Python Data Engineer: Entry Level with Azure & Analytics
Accenture Southeast Asia
Master Data Engineer - East Java
Michael Page
Discover more opportunities than anywhere else. Find more jobs nowData Engineer: Build Scalable Pipelines & Insights
Bluebirdgroup
Jr. Data Engineer
Somethinc - BeautyHaul
Data Scientist
Esri Australia
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Suzva Software Technologies
Data Scientist
Suzva Software Technologies
AI Specialist
PT Onda Mega Integra
AI & Data Consultant: Data Science & Analytics Leader
Deloitte PLT
T&T Consultant - Artificial Intelligence & Data (Data Scientist) - ID
Deloitte PLT
Forecasting Data Scientist — ML, Time Series, MLOps
Bluebirdgroup
Data Scientist
Bluebirdgroup
T&T Senior Consultant - Artificial Intelligence & Data (Data Scientist) - ID
Deloitte PLT
Real Time Analyst (Data Analyst)
Gear Inc.
GeoAI & GIS Data Scientist — Shape Spatial Solutions
Esri Australia
Senior Software Engineer (Data-Focused)
DoiT International
Data Engineer & Analytics
Kredivo Group
Data Engineer
Job summary
A leading tech company in Jakarta seeks a Data Engineer to design and build data pipelines from various sources to data warehouses. Candidates should have a Bachelor's in a relevant field and 2-4 years of experience in data engineering. Proficiency in advanced SQL and strong Python skills are essential. Familiarity with ETL/ELT, Airflow, and cloud infrastructure is preferred. This role offers a dynamic work environment focused on data quality and performance optimization.
Qualifications
- 2 to 4 years of experience in data engineering.
- Proficient in advanced SQL and strong programming skills in Python.
- Understanding of data governance and data quality.
- Experience with CI/CD and containerization.
Responsibilities
- Design and build data pipelines from various sources.
- Develop transformations using SQL or programming languages.
- Implement data quality practices and error handling.
- Optimize query performance and data storage.
Skills
Education
Tools
- Design and build data pipelines from various sources to data warehouses/lakes.
- Develop complex transformations using SQL or programming languages (Python).
- Implement data quality practices and error handling in pipelines.
- Optimize query performance and data storage.
- Prepare documentation for data models and system flows.
- Collaborate with Data Analysts and Data Scientists to meet analytical data needs.
- Bachelors degree in Computer Science, Data Science, Statistics, or related field.
- 2 to 4 years of experience in data engineering.
- Proficient in advanced SQL.
- Strong programming skills in Python.
- Experience with Golang/Java is a plus.
- Understanding of ETL/ELT concepts, data modeling, and pipeline orchestration (e.g., Airflow).
- Experienced with data warehouse or data lake.
- Familiarity with streaming systems (Kafka, Pub/Sub) is a plus.
- Knowledge of CI/CD, containerization (Docker/Kubernetes), and cloud infrastructure.
- Understanding of data governance, metadata management, and data quality is an advantage.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.