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- 5+ years of data engineering experience with deep production expertise in Amazon Redshift or Redshift Serverless.
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- Advanced SQL and demonstrated query tuning on large datasets.
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- Hands-on experience with S3, Glue, Lambda, IAM, and Redshift Spectrum.
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- Experience with Airflow, dbt, Glue, or similar ETL/ELT tools.
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- C1 English and the ability to work independently with stakeholders.
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- Review the current Redshift setup and identify performance, cost, reliability, and design issues.
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- Tune distribution keys, sort keys, compression, queries, and Workload Management.
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- Build and maintain ETL/ELT pipelines using Redshift and the AWS data stack.
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- Improve analytics-ready data models and document the changes and operating practices.
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Python, dbt, product analytics data pipelines, and experience in fintech or another regulated industry. These qualifications are optional.
Contract: 1 to 2 weeks, full-time. Remote in LATAM, excluding Argentina and Brazil, with overlap with U.S. Eastern Time. Compensation starts at USD 25 per hour.
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