Data Engineer

Bluebirdgroup; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

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

Advanced SQL

Python programming

Data modeling

ETL/ELT concepts

Data warehouse knowledge

Education

Bachelors degree in Computer Science, Data Science, or Statistics

Tools

Airflow

Docker

Kubernetes

Kafka

Job description

• 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.