Job Description

Responsibilities:

• Lead and manage a technology team of IT professionals implementing technology solutions with a primary goal to continuously assess the technology stack and build innovative solutions.
• Design good and operationally robust and scalable software solutions.
• Design and develop strategic ETL frameworks with a high degree of re-usability.
• Design and development/enhancement of end-to-end analytical pipelines for the Big Data ecosystem.
• Proactively notify stakeholders of risks, bottlenecks, problems, and issues for the development activities.
• Compliance with Citi's System Development Lifecycle and Information Security requirements.
• Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
• Utilise advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Technical brainstorming on best approaches to tackle changes in the system
• Contribute ideas to the evolution of the system architecture
• Contribute ideas to the refinement of the team development tools and processes
• Managing time and changing priorities in a dynamic environment
• Ability to provide quick turnaround to software issues and management requests
• Ability to assimilate key issues and concepts and come up to speed quickly

Requirements:

• 10+ years of Application development experience through the full lifecycle
• Prior experience in building solutions on Big Data platforms.
• Thorough knowledge and hands-on experience in Hadoop, Hive, PySpark, Sqoop, and other technologies in Cloudera's CDH distribution.
• Experience with Red Hat Linux and UNIX Bash Shell Scripting.
• Capable of performance tuning on the Hadoop platform.
• Good knowledge of software development tools like version control, Jira, etc.
• Strong experience in Hadoop, Hive, SQL, and PySpark with solid knowledge in Data warehouse, and ETL processing /Data Pipelines.
• Should have proven records of building Data Pipelines for a couple of AML programs.
• Strong AML domain knowledge is a plus
• Strong in release management and working across multiple programs with agile methodology.
• Good Experience in Unix Shell Scripting.