Big Data Developer - Vice President

Citigroup

Mississauga, Ontario, Canada
Base: $120,800.00 - $170,800.00; bonus/equity: not...
Hybrid
Hadoop/spark environments
Hadoop architecture solutions
Spark/pyspark solutions
Citigroup is seeking a Big Data Developer at the Vice President level in Mississauga, Ontario. This hybrid role focuses on designing and implementing scalable big data systems using technologies like Hadoop and Spark while collaborating with various teams to enhance data products and processes

Job Summary

  • The Big Data Developer is a senior level position responsible for establishing and implementing scalable, efficient big data application systems and platforms—primarily across Hadoop/Spark and cloud environments—in coordination with the Technology team.
  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals, and to identify and define necessary platform and system enhancements to deploy new data products and process improvements.
  • Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe.

Matching Summary

Match Score: 85

Citigroup is seeking a Big Data Developer at the Vice President level in Mississauga, Ontario. This hybrid role focuses on designing and implementing scalable big data systems using technologies like Hadoop and Spark while collaborating with various teams to enhance data products and processes.

Salary

Base: $120,800.00 - $170,800.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Hadoop/Spark environments
  • Hadoop architecture solutions
  • Spark/PySpark solutions
  • Hadoop and Spark clusters optimization
  • Hadoop infrastructure maintenance
  • Data security and governance policies

Nice-to-have

  • AI/ML lifecycle management
  • MLOps and GenAI integrations
  • Cloud-native services expertise
  • Interpretive thinking for solutions

Key Requirements

  • 6+ years of relevant experience
  • Building and operating production-grade data pipelines
  • Designing and managing Hadoop-based architectures
  • Strong hands-on and architectural knowledge of Python, PySpark, Unix/Linux, and SQL
  • Experience with major cloud platforms

Work Rights

Not specified

Tailored Resume

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