Data Engineer

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.

Skills: Python, GCP, snowflake, Azure, Microsoft SQL Server, Data Processing, MongoDB, Amazon Web Services (AWS), Redis, Data Engineering, Database Systems, PostgreSQL, Etl/elt Pipelines, Google BigQuery, Redshift, Data Integration