Data Engineer AWS
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Summary
Data engineer in Indonesia building and maintaining AWS-based data pipelines: writing ETL jobs in AWS Glue, managing the Amazon Redshift warehouse, and orchestrating workflows with Step Functions using SQL and Python.
Requirements
- Minimum Bachelor's Degree (S1) in Information Technology, Computer Engineering, Computer Science, Information Systems, or other IT-related fields
- 1–4 years of working experience a related field.
- Hands-on experience with AWS Glue (ETL Jobs, Crawlers, Studio).
- Strong proficiency in Amazon Redshift (Schema design, performance tuning, Redshift Spectrum).
- Solid understanding of SQL and Python (used in AWS Glue scripts).
- Experience working with AWS S3, IAM, and CloudWatch Logs.
- Experience with workflow orchestration using AWS Step Functions.
Nice-to-Have Skills
- Experience with AWS Athena, Redshift Serverless.
- Exposure to CI/CD pipelines for data workflows (e.g., using CodePipeline, GitHub Actions).
- Knowledge of data governance, security, and compliance (e.g., encryption, PII handling).
- Familiarity with BI tools such as QuickSight and Tableau