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Barclays

Data and Cloud Engineering Lead

Posted 22 Days Ago
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Pune, Mahārāshtra
Senior level
Pune, Mahārāshtra
Senior level
The Data and Cloud Engineering Lead will design and develop software solutions on cloud technology, focusing on data processing and analytics across various platforms. Responsibilities include managing stakeholder expectations, collaborating with cross-functional teams, ensuring high quality, secure coding practices, and guiding innovative solutions based on technological trends.
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Job Description

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.

Vice President Expectations

  • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
  • Manage and mitigate risks through assessment, in support of the control and governance agenda.
  • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
  • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
  • Adopt and include the outcomes of extensive research in problem solving processes.
  • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills 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 Data and Cloud Engineering Lead. At Barclays, we’re more than a bank – we’re a force for progress and help craft innovative solutions 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 on Cloud Platform.

To be successful as a Data and Cloud Engineering Lead, you should have experience with:

1. Experience on Cloud technology for data processing on AWS. 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 Orchestration using Airflow.

2. Delivery lead experience in data processing components in larger End to End projects.

Some other highly valued skills may include:

  • 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, organizing, and working on multiple projects.   
  • Experience in data mapping and technical flow design. Experience in Azure data processing. 

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.

This role is based in our Pune office.

Top Skills

Airflow
Athena
Auto Scaling
AWS
Azure
CloudFormation
Cloudtrail
Cloudwatch
Crawler
DynamoDB
Ec2
Ecs
Glue
Iam
Kms
Lake Formation
Lambda
Rds
Redshift
S3
Vpc

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