Data Engineer
Build and manage scalable data pipelines on AWS, integrating multiple data sources to support analytics, reporting, and business decisions.
Job Responsibilities
Call for Action
If you possess the above requirements and are keen on a new challenge, please apply directly or email [email protected]
- Build and maintain scalable data pipelines on AWS using tools such as Glue, Lambda, and Fargate.
- Manage and transform data in cloud data warehouses (Redshift, Snowflake, BigQuery).
- Integrate order and operational data from multiple platforms into a centralized data system.
- Develop reliable data ingestion pipelines from databases, APIs, and real-time streams.
- Set up data quality checks, monitoring, and alerts to ensure reliable data.
- Work closely with analysts and data scientists to support reporting, analytics, and machine learning use cases.
- Build automated reporting pipelines and dashboards to support business decision-making.
- Maintain clear documentation and follow best practices for data governance and security.
- 5+ years of experience in Data Engineering.
- Bachelor’s degree in Information Technology, Information Systems, or related field.
- Strong experience with the AWS data ecosystem.
- Proficient in Python and SQL for data processing and pipeline development.
- Experience building reliable batch or streaming data pipelines (Airflow, Step Functions, or similar).
- Familiar with data quality frameworks, monitoring tools, and dashboarding tools (QuickSight, Metabase).
- Good understanding of data modeling and warehouse optimization.
- Hands-on experience with API integrations and large-scale data ingestion.
Call for Action
If you possess the above requirements and are keen on a new challenge, please apply directly or email [email protected]
Referral reward: Rp5000000