Senior Data Engineer

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.

Join us as a "Senior Data 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 Senior Data Engineer as well as job-specific skillsets.

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

Basic/ Essential Qualifications:

• Providing technical leadership in Cloud Environments (like AWS, Azure) across our Product Stack and contributes to open-source Big Data technologies. 
• Where applicable writing Data Pipelines, workflows, and data structures.

• Adapting quickly to change in requirements and be willing to work with different technologies if required. 
• Leading the effort to build, implement and support the data infrastructure in Cloud. 
• Mentor and guide the team, prioritize Data Platform projects according to business needs, and develops top-quality data products using industry best practices. 
• Managing team of Data Platform engineers (both full-time engineers and/or partners) 

• Owning deliverables for the Data and Analytics Platform team from a delivery perspective 
• Leading in deployment, testing activities with hands on engineering and automation experience including CI/CD/CD and DataOps mindset 
• Reviewing technical designs and providing feedback 
• Designing and building end-to-end data solutions for analytics in AWS/Azure

Desirable skillsets/ good to have:

• Hands-on in scripting languages, Java, Python, RDBMS (Oracle/MySQL/Postgres).
• Cloud Concepts and hands-on experience with Public Cloud Providers such as AWS, Azure, GCP 

• Overall experience of 8-12 years, majority of it in the Data Platform Space.
• Minimum 2 years of experience in managing one of GCP / AWS / Azure environment is a must. 
• Minimum 2 years of experience architecting, designing, developing, and implementing cloud solutions on one of GCP / AWS / Azure platforms. 
• Good cloud infrastructure technical knowledge including cloud security, cloud formation templates and cost optimization. 
• Knowledge of information technology infrastructure domains such as compute server platforms, storage server platforms, server components, network devices, technologies and architectures, IT service delivery principles and best practices 
• Familiarity with compliance & security standards across the enterprise IT landscape 

• Experience using DevOps tools in a cloud environment, such as Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, and Sonar Qube 
• Hands on experience in the following Cloud services is mandatory – AWS S3, Glue, LakeFormation, EC2, EKS, ECS.

This role will be based out of Pune.