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Senior Big Data Engineer - Vice President

Citi

$142,320 - $213,480
Sep 11, 2025
Las Vegas, NV, US
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Citi is seeking a Big Data Lead to deliver on major business priorities within the Client Financial Platform by designing, developing, and maintaining big data applications and pipelines.

Requirements

  • Strong understanding of big data concepts, architectures, and technologies (e.g., Hadoop, Spark, Hive, Kafka, NoSQL databases)
  • Proficiency in programming languages such as Java, Scala, or Python
  • Experience with data warehousing and business intelligence tools
  • Experience with data visualization and reporting
  • Knowledge of cloud-based big data platforms (e.g., AWS EMR, Azure HDInsight, Google Cloud Dataproc)
  • Certifications in relevant big data technologies
  • Experience with Spark, Hadoop, Hive, and other relevant tools

Responsibilities

  • Leadership and Mentorship: Lead and mentor a team of big data engineers, fostering a collaborative and high-performing environment. Provide technical guidance, code reviews, and support for professional development
  • Architecture and Design: Design and implement scalable and robust big data architectures and pipelines to handle large volumes of data from various sources.
  • Technology Selection and Implementation: Evaluate and select appropriate big data technologies and tools based on project requirements and industry best practices. Implement and integrate these technologies into our existing infrastructure.
  • Data Processing and Analysis: Develop and optimize data processing and analysis workflows using technologies such as Spark, Hadoop, Hive, and other relevant tools.
  • Data Quality and Governance: Implement data quality checks and ensure adherence to data governance policies and procedures.
  • Performance Tuning and Optimization: Continuously monitor and optimize the performance of big data systems and pipelines to ensure efficient data processing and retrieval.
  • Research and Development: Stay up-to-date with the latest advancements in big data technologies and explore new tools and techniques to improve our data infrastructure.

Other

  • Bachelor’s degree/University degree or equivalent experience
  • Master’s degree preferred
  • Demonstrated leadership and project management skills
  • Consistently demonstrates clear and concise written and verbal communication
  • Ability to adjust priorities quickly as circumstances dictate