Data Engineer

Blue Bird Group; Jakarta Selatan; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

An established transportation company in Jakarta Selatan seeks a skilled Data Engineer to design and build data pipelines from various sources. The ideal candidate should have a Bachelor's degree in a relevant field, 2 to 4 years of experience in data engineering, and proficiency in SQL and Python. Familiarity with tools like Docker and experience in data governance are advantages. This is an excellent opportunity for a tech-savvy individual looking to enhance data practices in a dynamic environment.

Qualifications

• Bachelor's degree in a relevant field.
• 2-4 years of experience in data engineering.
• Proficient in advanced SQL and strong Python programming skills.

Responsibilities

• Design and build data pipelines from various sources to data warehouses/lakes.
• Develop complex transformations using SQL or programming languages.
• Implement data quality practices and error handling in pipelines.

Skills

Advanced SQL

Python programming

Data modeling

ETL/ELT concepts

Data governance

Kafka

Education

Bachelor's degree in Computer Science, Data Science, Statistics or related field

Tools

Docker

Kubernetes

Airflow

Job description

About the job Data Engineer

Job Descriptions :

• 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.

Job Requirement :

• 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.