Enable job alerts via email!

Data Engineer

Blue Bird Group

Daerah Khusus Ibukota Jakarta

On-site

IDR 200.000.000 - 300.000.000

Full time

2 days ago
Be an early applicant

Job summary

A leading transportation firm in Jakarta is seeking a Data Engineer to design and build data pipelines. The ideal candidate will have expertise in SQL and programming, particularly Python, along with a strong background in data engineering practices. Responsibilities include optimizing query performance and collaborating with analytics teams to fulfill data needs.

Qualifications

  • 4+ years of experience in data engineering.
  • Strong programming skills in Python.
  • Familiarity with cloud infrastructure.

Responsibilities

  • Design and build data pipelines from various sources to data warehouses/lakes.
  • Develop complex transformations using SQL or programming languages.
  • Collaborate with Data Analysts and Data Scientists to meet analytical data needs.

Skills

Advanced SQL
Python Programming
ETL/ELT Concepts
Data Modeling
Data Warehouse
Streaming Systems (Kafka, Pub/Sub)

Education

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

Tools

SQL
Golang/Java
Airflow
Docker/Kubernetes
Job description
About the job Data Engineer
  • 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.
  • 24 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.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.