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MEMSQL-TS -DATA ANALYTICS and AI-DAAI_Singlestore

Roles & Responsibilities

  • Strong experience with SingleStore / MemSQL database administration and development
  • Hands-on experience in SQL, Performance Tuning, and Query Optimization
  • Knowledge of Data Warehousing and ETL/ELT processes
  • Experience with Data Analytics and AI / Machine Learning workloads

Requirements:

  • Design, develop, and maintain SingleStore (MemSQL) databases and data pipelines
  • Optimize database performance, indexing, and query execution
  • Work with large-scale data analytics and AI workloads
  • Integrate data from multiple sources into a unified analytics platform

Job description

This is a remote position.

MEMSQL-TS – Data Analytics and AI (DAAI) / SingleStore Engineer

Location: Remote
Experience: 10+years
Employment Type: Freelance
Duration: standard

Job Summary:

We are seeking a skilled MEMSQL / SingleStore Engineer with strong expertise in Data Analytics and AI (DAAI) to design, develop, and optimize high-performance data solutions. The candidate will be responsible for managing distributed databases, building analytics pipelines, and supporting AI/ML data workloads.


Key Responsibilities:

  • Design, develop, and maintain SingleStore (MemSQL) databases and data pipelines
  • Optimize database performance, indexing, and query execution
  • Work with large-scale data analytics and AI workloads
  • Integrate data from multiple sources into a unified analytics platform
  • Monitor database health, troubleshoot issues, and ensure high availability
  • Collaborate with data engineers, data scientists, and application teams
  • Implement data security, backup, and disaster recovery strategies
  • Support real-time analytics and reporting requirements

Required Skills:

  • Strong experience with SingleStore / MemSQL database administration and development
  • Hands-on experience in SQL, Performance Tuning, and Query Optimization
  • Knowledge of Data Warehousing and ETL/ELT processes
  • Experience with Data Analytics and AI / Machine Learning workloads
  • Familiarity with Linux / Unix environments
  • Understanding of distributed database architecture
  • Experience with Python / Shell scripting

Preferred / Good to Have Skills:

  • Experience with Cloud platforms (AWS / Azure / GCP)
  • Knowledge of Big Data technologies (Spark, Kafka, Hadoop)
  • Exposure to Data Visualization tools (Power BI, Tableau)
  • Experience in real-time data processing
  • Certification in Database / Data Engineering / Cloud

Education:

  • Bachelor’s degree in Computer Science, Information Technology, or related field



Salary: 25000

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