Chennai, Tamil Nadu, India Post Date: May 9, 2023 Full Time
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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
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.