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Data Engineer

QodeTexas, Texas🇺🇸United States

Why this role stands out

This Data Engineer role offers a fantastic opportunity to hone your skills with cutting-edge MEM SQL technology and contribute to impactful projects within a reputable company. If you're a proactive problem-solver with a passion for building robust data solutions, you'll thrive in this collaborative environment. Apply now to advance your career in data engineering!

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationTexas, Texas, United States
GCPSQLAWSETLAzureData PipelineKafka

Job description

Job Title: Data Engineer – MEM SQL
Location: New Jersey / Irving, TX / Tampa, FL
Job Description:
We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and high-performance data platforms.
Responsibilities:
  • Design, develop, and maintain scalable data pipelines and ETL processes
  • Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing
  • Optimize database performance, queries, and data models
  • Collaborate with data scientists, analysts, and application teams to support data needs
  • Ensure data quality, reliability, and security across data platforms
  • Monitor and troubleshoot data pipeline and system issues
  • Support data migration and integration activities
Required Skills:
  • Strong experience as a Data Engineer
  • Hands-on experience with MEM SQL (SingleStore)
  • Strong SQL skills and database optimization experience
  • Experience with ETL tools and data pipeline frameworks
  • Knowledge of data modeling and data warehousing concepts
  • Experience working with large datasets and real-time data processing
Preferred Skills:
  • Experience with cloud platforms (AWS / Azure / GCP)
  • Knowledge of Big Data technologies (Spark, Kafka, etc.)
  • Telecom domain experience (preferred, not mandatory)

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