Application Developer
Pune
About Barclays
Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group.
Risk and Control Objective
Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.

Working Flexibly
We're committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers' and clients' needs. Whether you have family commitments or you're a career, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life.
If you would like some flexibility then please discuss this with the hiring manager.
Data infrastructure support engineer would be acting as L3 support for self-service advanced analytic big data platform responsible for day-to-day L3 support of platform on-premise and Cloud, automating day to day tasks and handling escalations from L2 team, identifying possible improvements and working with product team on enhancements.
What will you be doing
• * Ensure deliverables comply to Barclays standards and policies (for security, data privacy, accessibility)
• Day to day support and escalation handling coming from data scientists or L2 support team
• Identify possible design / deployment issues and work with product team on remediation
• Support of:
• highly available distributed systems
• automation of deployments and testing
• Drive deliveries assigned within running Scrums
• Ensuring all support tasks are recorded and completed in a professional and structured manner
• Constantly review standards and best practices to identify performance improvements
• Suggesting new ways forward and coming up with new feature / automation ideas
• Collaboration with cross-functional support teams
• Ownership of defects & work closely product team / developers to review changes & contribute as required
• Contribution in service improvement

What we're looking for:
• Very good understanding of Hadoop core concepts and technologies
• Experience in implementing big data solutions using one of the technologies: Hive, YARN and Spark