Data Engineer
Summary
Builds and maintains reliable ETL/ELT data pipelines, integrating data from multiple sources into warehouses or lakes while ensuring data quality and performance. Core stack includes SQL, Python, orchestration tools like Airflow/dbt/Dagster, and warehouses like BigQuery, Snowflake, Redshift, or PostgreSQL.
Drive efficient data operations by developing robust workflows, managing diverse data sources, and enabling data readiness for analytics and applications.
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
- Indonesian citizen with 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.
EXPECTATIONS
- Able to work independently with minimal day-to-day supervision
- Able to understand and evaluate technical trade-offs when designing data solutions
- Able to deliver stable and reliable data pipelines with minimal supervision.
Explore Our Benefits
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Health & Insurance
We provide employee health and employment insurance. We are committed to maintaining employee welfare, one of which is by providing catering menus for every employee.