Data Engineer

Blue Bird Group; Jakarta Selatan; On-site; IDR 499.168.000 - 831.947.000; Full time

Job summary

A leading transportation company in Jakarta Selatan is seeking a Data Engineer to design and build data pipelines. Candidates should have a Bachelor's degree in Computer Science or a related field and 2 to 4 years of experience in data engineering. Proficiency in SQL and strong programming skills in Python are required. Familiarity with cloud infrastructure and containerization is a plus.

Qualifications

• 2 to 4 years of experience in data engineering.
• Strong programming skills in Python.
• Understanding of data quality practices.

Responsibilities

• Design and build data pipelines to data warehouses/lakes.
• Implement data quality practices and error handling in pipelines.
• Optimize query performance and data storage.

Skills

Advanced SQL

Python

Data modeling

ETL concepts

Data governance

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Airflow

Golang

Java

Kafka

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.