Remote AI Data QA SQL Engineer

SME Careers

Indonesia

Remoto

IDR 551.040.000 - 964.320.000

Part-time

17 ore fa
Candidati tra i primi
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Descrizione del lavoro

SME Careers is seeking an experienced SQL Engineer for a fully remote, hourly-contract role. You will review AI-generated SQL queries and data designs, generate reference solutions, and explain complex data problems with clarity.

Your expertise will help improve model accuracy and efficiency in large-scale data environments. You will assess methodologies, query structures, indexing strategies, and data claims, while writing step-by-step explanations and model solutions.

Competenze

  • Bachelor’s degree or higher in a technical field.
  • 7+ years of professional SQL experience in production environments.
  • Expert-level SQL skills with complex joins, window functions, and query plan analysis.
  • Experience with database performance tuning and indexing strategies.
  • Hands-on data modeling and data warehouse design (star and snowflake).
  • Experience with ETL/ELT processes and large-scale data in cloud/on-prem environments.
  • Strong written and spoken English (C1).
  • Familiarity with CI/CD and version control.

Mansioni

  • Review AI-generated SQL queries, database designs and data-processing logic.
  • Generate high-quality reference solutions and explanations for complex data problems.
  • Rate and compare AI responses for correctness, performance and reasoning.

Conoscenze

Advanced SQL
Query optimization
Database design
Data modeling
ETL/ELT
CI/CD practices
Version control
English proficiency

Formazione

Bachelor's degree in CS/IS/Engineering/Math

Strumenti

Cloud data platforms

Descrizione del lavoro

SME Careers is seeking an experienced SQL Engineer for a fully remote, hourly-contract role. You will review AI-generated SQL queries and data designs, generate reference solutions, and explain complex data problems with clarity.

Your expertise will help improve model accuracy and efficiency in large-scale data environments. You will assess methodologies, query structures, indexing strategies, and data claims, while writing step-by-step explanations and model solutions.

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