Data Engineer
Posted
Summary
Data Engineer building and maintaining ETL/ELT pipelines for FMCG projects: integrating multi-source data into warehouses/data lakes, writing SQL, ensuring data quality, and optimizing pipeline performance using Python and tools like Airflow, dbt, or Dagster. Hybrid role based in Indonesia.
Take your Data Engineering expertise further through FMCG projects using Python, ETL/ELT, and data warehousing in a collaborative hybrid environment.
KEY RESPONSIBILITIES
- Build and maintain reliable ETL/ELT pipelines
- Process and integrate data from multiple sources into data warehouses or data lakes
- Write efficient and maintainable SQL queries
- Ensure data quality, consistency, and validity across data pipelines
- Collaborate with Data Analysts, Data Scientists, Product, and Engineering teams
- Monitor, troubleshoot, and optimize pipeline performance.
REQUIREMENTS
- 3–5 years of experience as a Data Engineer or in a similar role
- Strong SQL skills and a solid understanding of basic data modeling
- Hands‑on experience using Python for data processing
- Experience with ETL/ELT tools or workflow orchestration platforms such as Airflow, dbt, Dagster, or similar tools
- Familiarity with data warehouses such as BigQuery, Snowflake, Redshift, or PostgreSQL
- Understanding of data quality, partitioning, indexing, and pipeline monitoring.
NICE TO HAVE
- Experience with cloud platforms such as GCP, AWS, or Azure
- Familiarity with Apache Spark, Apache Kafka, or data streaming
- Experience working with analytics teams or production data platforms.
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