Citi is seeking a Senior Data Developer/Lead to join a high-performing team focused on developing and optimizing scalable data solutions within the Hadoop ecosystem and streaming platforms. The ideal candidate will have deep technical expertise in big data technologies and a proven track record in the banking domain. This role emphasizes hands-on contributions, collaboration within agile teams, and the integration of AI/ML capabilities. The successful candidate will also mentor team members and ensure the performance and security of data infrastructure.

• 5+ 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, FastAPI, and Spark.
• Extensive hands-on experience with real-time data streaming technologies, particularly Apache Kafka.
• Strong hands-on knowledge of Python, PySpark, FastAPI, Unix, SQL, and Delta SQL.
• Experience building and optimizing end-to-end data pipelines using Delta Live Tables (DLT) and Databricks workflow.
• Familiarity with major cloud platforms such as AWS, Azure, and Google Cloud.
• 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 abreast of 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.
• Develop Spark-based solutions to support near real-time data ingestion and advanced analytics.
• Contribute to the implementation of AI/ML models within data pipelines.
• Participate in MLOps initiatives to streamline the machine learning lifecycle.
• Take full ownership of end-to-end project delivery for data initiatives.

• 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.