01Overview
At Barclays, we dont just adapt to the future we create it. Embark on a transformative journey as part of the Data Engineer, where youll play a pivotal role in ensuring the resilience, scalability, and reliability of critical payment systems within the Merchant Services domain. You will be a key contributor championing quality and performance for systems that power merchant transactions, focusing on driving improvements in system stability, throughput, efficiency, and control.
Working closely with BA, SA, Engineering teams and stakeholders across Teams, you will help deliver high-performing solutions through agile delivery models. You will collaborate to understand system benchmarks, identify performance bottlenecks, and lead performance engineering initiatives while interfacing with technology partners to ensure optimal system behavior under varying load conditions.
Leading the ongoing drive to enhance platform performance and reliability, you will champion a data-driven and collaborative approach, ensuring that performance considerations are embedded throughout the software development lifecycle. Additionally, ensuring compliance with performance standards, risk controls, and service-level expectations will be a key responsibility.
To be successful as a Data Engineer, you should have experience with:
To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.Requires in-depth technical knowledge and experience in their assigned area of expertise.Thorough understanding of the underlying principles and concepts within the area of expertise.They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.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.
Some of Highly Valued Skills may include:
Microservices and containerized architecture.Databases: Oracle, SQL Server and AWR analysisPerformance testing in cloud environments.Data products and catalog services.CI/CD integration (Jenkins, Git).Expertise on AWS and Azure environment.
You may be assessed on the 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.
The location of the role is Chennai, IN.
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.
Analyst Expectations
To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.Requires in-depth technical knowledge and experience in their assigned area of expertiseThorough understanding of the underlying principles and concepts within the area of expertiseThey lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.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 develop technical expertise in work area, acting as an advisor where appropriate.Will have an impact on the work of related teams within the area.Partner with other functions and business areas.Takes responsibility for end results of a teams operational processing and activities.Escalate breaches of policies / procedure appropriately.Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.Advise and influence decision making within own area of expertise.Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes .
