
Highly Experienced Data Engineer for Cloud Database Solutions
5 days ago
Job Description:
We are seeking a highly skilled Senior Redshift Engineer to support our clients in architecting, optimizing, and scaling AWS Redshift environments.
- Lead architecture review and validation for multiple AWS Redshift clusters.
- Validate sizing assumptions and provide right-sizing recommendations.
- Define and implement operational excellence best practices (runbooks, monitoring, alerting).
- Establish key performance indicators (KPIs) and health metrics for Redshift platforms.
- Analyze and optimize query performance (workload patterns, schema design, tuning).
- Establish schema governance and define change management/version control processes.
- Define a clear, auditable process for deploying new tables, columns, and views.
- Act as a strategic, consultative resource—not just operational support.
Required Skills and Qualifications:
- 5+ years in data engineering or database engineering/administration, with deep hands-on expertise in AWS Redshift.
- Proven experience in cluster architecture review, sizing, and right-sizing recommendations.
- Strong background in query performance tuning, schema optimization, and workload management.
- Expert-level knowledge of Redshift fundamentals: table design (Distribution and Sort Keys), WLM tuning, vacuum operations, concurrency scaling.
- Ability to develop and implement operational best practices (runbooks, monitoring, alerting).
- Demonstrated expertise in schema governance, version control, and structured change management.
- Excellent communication and consultative skills—able to clearly articulate solutions to technical and business stakeholders.
- Experience working in client-facing roles within professional services, consulting, or enterprise environments.
- Strong problem-solving skills and ability to take ownership of strategic outcomes—not just tactical tasks.
Benefits: Attractive compensation package and opportunities for career growth.
Others: Collaborate with talented teams to ensure reliability, scalability, and efficiency of Redshift environments.
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