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Lead Data Engineer - Full Stack, Hybrid

Highbrow

Transform data strategy as a Lead Data Engineer in Toronto, with a hybrid schedule that promotes flexibility. This senior role emphasizes implementing efficient data products and maintaining system integrity. This full-time long-term position demands a blend of engineering and leadership skills. With 10+ years of experience, you will create optimal data architectures, ensure data quality, and lead technical support initiatives. Expertise in Java and big data tools will be essential as you optimize performance and enhance applications. Key Responsibilities:

  • Design and maintain data pipeline architecture
  • Optimize data systems for performance
  • Lead technical support for system incidents
  • Ensure compliance with data accuracy standards
  • Conduct thorough code reviews for quality assurance
Requirements:
  • 10+ years in data engineering or related fields
  • Proficient in Java and Spring frameworks
  • Familiarity with big data solutions and databases
  • At least 5 years experience in Capital Markets
  • Proven experience working in Agile environments
Utilize your full stack and data engineering expertise to drive impactful solutions. #J-18808-Ljbffr

Vacancy posted 8 days ago
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