Data Engineering Lead

Join us as a Data Engineering Lead at Barclays, where you'll take part in the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. As a part of the team, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. You'll be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders. 

To be successful as a Data Engineering Lead you should have experience with:

• Design and develop new data pipelines using AWS S3, Glue, Python, Athena, Lambda, Databricks & Airflow.
• Ample knowledge of cloud architecture in AWS.
• Extensive hands-on in building Data migration processes using AWS services, Abinitio, Oracle 12g/19c, Hadoop, Spark, Scala, MongoDB, Unix Shell scripting, HBase, HiveQL, Stash/Git.
• Experience in developing PL/SQL Packages, Procedures, Functions, SQL* Loader in accordance with business requirements for loading data into database tables.
• Improve the performance of SQL queries or data ingestion jobs in AWS, Oracle & Hadoop, Spark and Scala.
• Design, develop, and maintain shell scripts (ash/bash) for PGP encryption and decryption of files transferred between clients and internal systems. Ensure encryption processes comply with security standards and client requirements. Automate the execution of encryption scripts to enhance efficiency and security.
• Perform analysis on data in Hadoop and get the issues fixed if any. This may involve coding in Spark/Scala/MapReduce or guide the developers to perform such tasks.
• Data and Solution Architecture Tools including Visio, Draw.io, Confluence
• Perform data analysis using Athena while ensuring data security and compliance.
• Conduct client demo sessions to walk through new feature development, resolve escalated production issues by debugging the application code and finding the root cause.
• Perform unit test before handing over application to Quality Analyst.
• Excellent communication and collaboration skills.
• Ability to learn new tools and technologies quickly.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in Chennai.

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.