Senior Data Engineer (Python/Spark)

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. 

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.

• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.

• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.

• Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.

• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.

• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

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 Senior Data Engineer (Python/Spark) at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to evolutionise our digital offerings, ensuring unparalleled customer experiences.

To be successful as a Senior Data Engineer (Python/Spark) you should have experience with:

• Data Warehousing

• Python

• Spark

• AWS

• Snowflake

Some other highly valued skills may include:

• AWS Glue

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 out of Pune.