Big Data Engineer

What will you be doing? Analyze system requirements to automate and improve functionality and test, maintain, monitor, and enhance radial and BDH environment engineering capabilities. Identify gaps in existing systems and deliver improvements to configuration, data, quality, applications, and processes. Oversee IT process flows, Hadoop, UNIX, development processes, RFT architecture, clearing system data, among others, to carry out the sophisticated job duties. Analyze and review log files and assist application team with performance tuning for local and cluster level configuration, queries, and table partitioning. Collaborate with admin and Unix teams to install, configure, and support Hadoop Clusters. Continue to generate and collect metrics, proactively plan infrastructure usage. Utilize automated scripts and chef scripts to monitor, and control local file system disk space usage, user groups, quotas, logfiles, and log file cleaning. Devise, implement, and monitor systems, automations, notification tools, access control, and data governance. Initiate and perform capacity planning and data replication setup, replace, and recover disks, commission and decommission data nodes, perform disk balancing, and conduct file directory activities. Monitor cluster health status, workload and Hadoop services, schedule automated alerts, and tune system related configuration parameters. Coordinate and propagate application and cluster level changes in non-production and production environments. Create root cause analysis (RCA) efforts for high severity incidents. Analyze system failures, identify root causes, create, and prioritize cases with Cloudera vendor, and recommend and follow courses of action. Perform release management, team handover, and sprint to pipeline activities and follow Information Technology Infrastructure Library (ITIL) procedures. May telecommute pursuant to company policies. [Hybrid role] Minimum Salary: $160,805 per year Maximum Salary: $170,000 per year The minimum and maximum salary/rate information above includes only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available. Barclays employees are eligible for a suite of a competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances. This position is eligible for an incentive award. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. #J-18808-Ljbffr