The Senior Data Developer role is focused on developing, implementing, and optimizing data solutions within a Hadoop ecosystem and streaming platforms. The position requires a hands-on contributor with deep technical expertise in big data technologies, particularly in real-time data streaming with Kafka. The ideal candidate will work within a small, agile team, ensuring high performance, security, and governance of data infrastructure while mentoring others. This role emphasizes an AI-first mindset and the integration of advanced AI/ML capabilities into data solutions.

• 7+ years of proven experience in developing, implementing, and optimizing complex Hadoop-based and real-time data platforms.
• Solid hands-on experience in AI/ML and modern AI coding tools.
• Strong understanding of Hadoop ecosystem components, including HDFS, YARN, MapReduce, Hive, HBase, and Spark.
• Extensive hands-on experience with real-time data streaming technologies, particularly Apache Kafka.
• Strong hands-on knowledge of Python, PySpark, Unix, and SQL.
• Familiarity with major cloud platforms such as AWS, Azure, and Google Cloud.
• Experience with advanced data modeling principles and practices, including dimensional modeling.
• Proficiency in developing and implementing complex ETL/ELT processes for both batch and real-time data.
• In-depth knowledge of data warehousing concepts and best practices.
• Strong understanding and practical experience with AI/ML lifecycle management and MLOps practices.

• Develop and implement scalable and efficient data solutions within the Hadoop ecosystem.
• Manage complex Hadoop-based data pipelines and real-time streaming solutions.
• Implement robust real-time data streaming solutions using technologies like Apache Kafka.
• Collaborate effectively within a small, agile squad to translate diverse data requirements into technical specifications.
• Optimize Hadoop clusters and real-time streaming applications for performance and scalability.
• Maintain and monitor the Hadoop and streaming infrastructure to ensure high availability and data integrity.
• Implement comprehensive data security and governance policies adhering to regulatory standards.
• Stay updated on advancements in big data technologies and recommend innovative AI-first solutions.
• Troubleshoot and resolve complex issues within the Hadoop ecosystem and real-time streaming platforms.
• Contribute to the implementation of AI/ML models within data pipelines.

• Citi offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.