Senior Data Engineer – Experto en Amazon Redshift (Short-Term)

We are seeking a Senior Data Engineer with deep Amazon Redshift expertise to improve data warehouse performance, design, cost efficiency, and reliability. You will assess existing Redshift environments, optimize workloads, and build dependable pipelines for analytics and business intelligence.

This role requires strong ownership and hands-on technical depth across Redshift provisioned or Serverless environments and the AWS data stack. You will work independently with stakeholders, document technical decisions, and deliver measurable improvements in a short-term, full-time engagement. Experience with fintech or other regulated data environments is valuable.

Key Responsibilities:

• Review the current Redshift environment and identify performance, cost, reliability, and design issues.

• Design and tune tables, including distribution keys, sort keys, compression, and Workload Management configuration.

• Build and maintain ETL/ELT pipelines into Redshift using the AWS data stack and appropriate orchestration tools.

• Optimize slow queries and reduce provisioned or Serverless Redshift costs.

• Develop data models that support analytics and BI use cases.

• Document best practices, technical findings, and implemented changes.

Requirements:

• Senior data engineer with 5+ years of data engineering experience and deep hands-on Amazon Redshift expertise.

• C1 English level or higher.

• Advanced SQL and proven query tuning experience on large datasets.

• Hands-on experience with Redshift Serverless, AWS S3, AWS Glue, AWS Lambda, AWS IAM, and Redshift Spectrum.

• Experience building ETL/ELT pipelines using Airflow, dbt, or similar tools.

• Hands-on experience with Workload Management, Data Modeling, Data Warehousing.

Lugar de trabajo: Empleo remoto