MemSQL (SingleStore) Database Engineer @ Dallas, TX / Tampa, FL / Irving, TX (Hybrid)

Hybrid in Dallas, TX, US • Posted 1 day ago • Updated 1 day ago
Full Time
Hybrid
$80,000 - $140,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • MemSQL
  • SingleStore
  • Kafka
  • Python

Summary

Incedo is a global AI and data transformation specialist empowering companies to realize sustainable business impact from their digital investments by delivering ROI from AI@Scale. As a long-term partner for strategy to execution, we operate at the intersection of business and technology.

Our integrated services and platforms are built on the foundation of AI & Data, digital engineering, and operations transformation, bringing deep domain expertise and full stack capabilities together. With over 4,000 people in the US, Canada, Latin America and India and a large, diverse portfolio of Fortune 500 enterprises and fastgrowing clients worldwide, we work across banking & payments, wealth management, telecom, hi-tech and life sciences.

Please visit the linke to know about Incedo:

Title: MemSQL (SingleStore) Database Engineer

Experience: 5 8 Years

Location: Dallas, TX / Tampa, FL / Irving, TX (Hybrid)

About the Role

We are seeking a highly skilled MemSQL (SingleStore) Database Engineer to support large-scale, high-performance data platforms. The ideal candidate will have hands-on experience with SingleStore/MemSQL administration, SQL optimization, distributed database architecture, and real-time data processing environments.The candidate will work closely with application teams, data engineers, DevOps teams, and business stakeholders to ensure database performance, scalability, reliability, and availability.

Key Responsibilities

  • Design, implement, and maintain SingleStore (MemSQL) database environments.
  • Manage distributed database clusters including Aggregator and Leaf Nodes.
  • Monitor database health, performance, and resource utilization.
  • Perform query tuning, indexing optimization, and performance troubleshooting.
  • Implement backup, recovery, disaster recovery, and high-availability solutions.
  • Support database replication, partitioning, and cluster scaling activities.
  • Develop and optimize complex SQL queries, stored procedures, and database objects.
  • Work with real-time and batch data ingestion pipelines.
  • Troubleshoot production incidents and database-related issues.
  • Automate database administration activities using Python, Shell scripting, or similar tools.
  • Collaborate with Data Engineering and DevOps teams for CI/CD deployments.
  • Ensure database security, access management, and compliance standards.
  • Create and maintain technical documentation and operational runbooks.

Required Skills

  • 5 8 years of overall database administration or database engineering experience.
  • 3+ years of hands-on experience with MemSQL / SingleStore.
  • Strong expertise in SQL development and query optimization.
  • Experience managing distributed database architectures.
  • Knowledge of:
    • Sharding
    • Partitioning
    • Replication
    • High Availability (HA)
    • Disaster Recovery (DR)
  • Experience with Linux/Unix environments.
  • Strong understanding of OLTP and OLAP workloads.
  • Experience with performance monitoring and troubleshooting.
  • Hands-on scripting experience using Python, Shell, or Bash.
  • Strong understanding of database security best practices.

Preferred Skills

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with Kafka, Spark, Flink, or other streaming technologies.
  • Exposure to data warehousing and real-time analytics platforms.
  • Familiarity with monitoring tools such as Prometheus, Grafana, Splunk, or Datadog.
  • Knowledge of CI/CD pipelines and DevOps practices.
  • Experience supporting telecom, network analytics, or large-scale enterprise applications.

Qualifications

  • Bachelor's Degree in Computer Science, Information Technology, or related discipline.
  • Strong communication and stakeholder management skills.
  • Ability to work in a fast-paced production environment.

Nice to Have

  • BigQuery exposure.
  • Java or Scala development experience.
  • Experience with AI/ML data platforms and large-scale analytics solutions.
  • Telecom domain experience preferred

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10476889
  • Position Id: 8986715
  • Posted 1 day ago
Contact the job poster
Devanshu Singh

Devanshu Singh

Assitant Manager-Talent Acquisition @ Incedo Inc
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