Data Engineer

Responsibilities

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.

Qualifications

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.

Location: South Jakarta, Jakarta, Indonesia

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