Big Data Engineer

About the Role

We are seeking a highly skilled and experienced Data Developer to join our team  successful candidate will be instrumental in designing, implementing, and optimizing scalable and efficient data solutions, primarily within the Hadoop ecosystem. This role requires a strong technical background, a deep understanding of big data technologies, and a commitment to best practices in data architecture, security, and performance.

• Design and implement scalable and efficient Hadoop architecture solutions.
• Collaborate with data engineers and scientists to understand data requirements and translate them into robust data solutions.
• Optimize Hadoop clusters for performance and resource utilization, ensuring efficiency and cost-effectiveness.
• Maintain and monitor Hadoop infrastructure, ensuring high availability, reliability, and disaster recovery capabilities.
• Implement data security and governance policies to protect sensitive information and ensure compliance with regulatory standards.
• Stay updated with the latest advancements in Hadoop and big data technologies, evaluating and recommending new tools and practices.
• Troubleshoot and resolve complex issues within the Hadoop ecosystem, minimizing downtime and ensuring continuous operations.
• Responsible for developing Spark-based solutions to support near real-time data ingestion, analytics, and reporting needs.

• 3-8 years of relevant experience in the Financial Service industry.
• Consistently demonstrates clear and concise written and verbal communication.
• Demonstrated problem-solving and decision-making skills.
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements.

• Big Data Technologies:
  • Hadoop
  • HDFS (Hadoop Distributed File System)
  • YARN (Yet Another Resource Negotiator)
  • Map Reduce
  • Hive
  • Spark
• Cloud Platforms:
  • AWS (Amazon Web Services)
  • Azure (Microsoft Azure)
  • Google Cloud
• Data Management:
  • Data modeling
  • ETL processes (Extract, Transform, Load)
  • Data warehousing
• Programming & Scripting:
  • SQL

• Proven experience in designing and managing Hadoop-based architectures.
• Strong understanding of Hadoop ecosystem components.
• Strong hands-on and architectural knowledge of Python, PySpark, and Unix.
• Exposure to AI/ML lifecycle management, MLOps, and GenAI solutions.

• Bachelor’s degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

• Job Family Group:
  Technology
• Job Family:
  Applications Development
• Time Type:
  Full time
• Primary
  
  Location:
  
  Irving, Texas, United States
• Primary Location Full Time Salary Range: $84,580.00 - $

In addition to salary, Citi’s offerings may also include discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit  Available offerings may vary by jurisdiction, job level, and date of hire.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility w Citi’s EEO Policy Statement and the Know Your Rights poster.