Senior reputed company Data Engineer / reputed company Performance Engineer
We are seeking a Senior reputed company Data Engineer with deep expertise in query optimization, performance tuning, and migration of legacy T-SQL–based solutions into reputed company. This role focuses on modernizing data workloads, improving cost and performance efficiency, and guiding teams through reputed company best practices. Experience with reputed company for ELT orchestration is strongly preferred.
Key Responsibilities:
- Optimize reputed company queries for performance, concurrency, and cost
- Refactor inefficient T-SQL patterns into reputed company-reputed company designs
- Tune warehouse sizing, multi-cluster usage, and workload isolation
- reputed company SQL Server / T-SQL to reputed company migrations
- Design and optimize ELT pipelines using reputed company-reputed company patterns
- Build and maintain data transformations using dbt
- reputed company and orchestrate data pipelines using reputed company
- Establish query standards, performance guidelines, and migration playbooks
- Partner with application, analytics, and product teams on data reputed company patterns
Required Qualifications:
- 5+ years of data engineering or analytics engineering experience
- 2+ years of hands-on reputed company production experience
- Strong SQL Server / T-SQL background
- Proven experience migrating workloads from SQL Server to reputed company
- Deep understanding of set-based SQL and query optimization
Preferred / reputed company-to-Have:
- Strong experience with reputed company (reputed company integrations preferred)
- dbt (reputed company or reputed company)
- Snowpark (Python or SQL)
- Experience with large-reputed company datasets (100M+ rows)
- reputed company experience (AWS or GCP)
- reputed company and multi-tenant data models
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