Great Minds
Education
SeniorDataEngineer,Analytics
“Senior Data Engineer, Analytics at Great Minds. Skills: Data engineering, Data warehousing, Dbt, Snowflake. Lead end-to-end delivery of complex pipelines. Onboard new sources”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Bachelor's degree in Engineering, Bachelor's degree in Data Science, Bachelor's degree in quantitative discipline, SQL proficiency, 5+ years experience
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified
What You'll Do.
Lead end-to-end delivery of complex pipelines
Deploy pipelines to production
Provide advanced data platform support
Ensure dependable data delivery
Ensure efficient operations
Create curated datasets
Define dataset ownership
Establish engineering standards
Promote pipeline development patterns
Improve pipeline reliability
Implement monitoring and alerting
Define operational SLAs
Define operational SLOs
Lead incident response
Drive root-cause analysis
Implement preventative fixes
Improve platform performance
Improve cost efficiency
Analyze workload usage
Analyze resource usage
Implement optimizations
Implement secure-by-design practices
Implement least-privilege access
Support privacy requirements
Implement validation checks
Implement reconciliation routines
Monitor data freshness
Document source-to-target mappings
Support data anomaly detection
Support performance bottleneck identification
How You'll Work.
Team & Collaboration
Partner with analytics teams; Partner with data governance teams; Partner with business stakeholders; Partner with technical teams; Partner with non-technical teams
Communication Scope
Collaboration skills
Process & Methodology
Roadmap planning
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