Join us as a "Data Ingestion 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 experience with Data Ingestion Engineer, as well as job-specific skillsets.

To be successful as a "Data Ingestion Engineer", you should have experience with:

Essential Skills/Basic 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

Solution delivery for data processing components in larger End to End projects

Desirable skills/Preferred Qualifications:

AWS Certified professional

Ability to drive the projects technically with right first deliveries within schedule and budget

Ability to collaborate across teams to deliver complex systems and components and manage stakeholder’s expectations well

Understands different project methodologies, project lifecycles, major phases, dependencies and milestones within a project, and the required documentation needs.

Experienced with planning, estimating, organising, and working on multiple projects.

Has monitored and dealt with critical paths and risks areas

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.


Assistant Vice President Expectations

· 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.