Job
Description
Key Skills: Pyspark, ETL, Shell Scripting, UNIX, Python, SQL. Roles and Responsibilities: Lead and support your technology team to manage delivery proactively, balancing scope, schedule, resourcing, dependencies, and communications. Act as a Subject Matter Expert (SME) on the design, development, testing, and implementation of technology solutions for the transformation of systems involved in risk analytics, both tactically and strategically. Provide guidance to the team for continuous improvements/automation in all aspects of the software delivery lifecycle. Work closely with technology teams, architects, business analysts, and Product Owners to identify and drive improvements in productivity through backlog management and maturity in the use of Agile methodologies (e.g., Scrum, Kanban, Lean). Manage corresponding dependencies effectively. Lead and support day-to-day interactions with senior stakeholders and program steering committees, resolve conflicts, and provide input in decision-making when necessary. Provide support to the team in identifying and resolving all incidents to proactively manage production support activities and areas for improvement. Take end-to-end ownership of IT services, ensuring compliance with various IT controls. Grow the technical expertise of the engineering community within the team. Support DevOps teams managing continuous integration/continuous delivery pipelines, ensuring strong customer focus on end-to-end journeys through all stages of product or service release/change. Drive, manage, monitor, and report progress, issues, dependencies, and risks to program management, internal stakeholders, and/or steering committees. Make recommendations to influence decision-making to maintain progress toward delivery and benefits realization. Establish effective governance and controls, coordinating across DevOps and cross-Global Business/Global Functions delivery teams. Experience Requirements: 8+ years of experience in handling distributed/big data projects, with expert proficiency in Pyspark, Linux scripting, SQL, and Big Data tools. Technology stack experience: Pyspark, ETL, Unix Shell Scripting, Python, Spark, SQL, Big Data tools (Hadoop, Hive), and exposure to DevOps tools with REST API standards and implementation. Strong exposure to interpreting business requirements from a technical perspective, and designing, developing, and implementing IT solutions that fulfill business user requirements and conform to high-quality standards. Experience with cloud platforms and cloud technologies. Strong problem-solving skills and attention to detail. Excellent communication, presentation, and team collaboration skills. Knowledge of Automation and DevOps practices and tools, including Docker, Kubernetes, Jenkins, Ansible, G3, Nexus, Git, and test automation. Familiarity with Agile development methodologies, particularly using Jira. Strong hands-on experience in managing large-scale technology projects, with an exceptional understanding of how technology adds value to the business and ultimately the end customer. Education: B.Tech M.Tech (Dual), B.Tech, M. Tech.
