AWS Cloud Engineer

Join us as a "AWS Cloud Engineer" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

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

To be successful as a "AWS Cloud Engineer", you should have experience with:

Basic/ Essential Qualifications:

• Experience on AWS Cloud technology for data processing
• Good understanding of AWS architecture and features as below
• Computer services like EC2, Lambda, Auto Scaling, VPC, EC2
• Storage and container services like ECS, S3, DynamoDB, RDS
• Management & Governance KMS, IAM, CloudFormation, CloudWatch, CloudTrail
• Analytics services as Glue, Athena, Crawler, Lake Formation, Redshift
• Delivery knowledge for data processing components in larger End to End projects

Desirable skillsets/ good to have:

• Strong AWS solution and Implementation knowledge
• Ability to collaborate across teams to deliver complex systems and components and manage stakeholder s expectations well
• Broad and solid understanding of the concepts and roles behind data processing application build delivery and design
• Experienced with planning, estimating, organising, and working on multiple projects.
• Experience in data mapping and technical flow design

This role will be based out of Pune.

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

• 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 team s 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 of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.