Data Engineer at Barclays

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL, Data Warehousing, PySpark, AWS, Python, Infrastructure as Code, Terraform, CI/CD, Cloud Security, Git, RDBMS, Databricks, Agile, SQL, NoSQL, DevOps

Industry

Banking

Description

Job Description 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 To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. 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 Data Engineer at Barclays, responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Data Engineer you should have experience with: Experience in ETL / data processing / data warehousing / data engineering / RDBMS / PySpark. Experience in Data Processing and ETL in On-prem and Cloud based systems. Preferred AWS cloud development, with a strong understanding of AWS services (e.g., EC2, S3, Lambda, RDS, DynamoDB, etc.). Proficient in at least one Python programming language. Hands-on experience with Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform etc. Experience with CI/CD tools and pipelines (Jenkins, GitLab CI, etc.) for automation and deployment. Good understanding of cloud security best practices and experience with IAM, VPC, security groups, and encryption mechanisms. Good knowledge of monitoring, logging, and troubleshooting tools (e.g., CloudWatch, CloudTrail). Experience with version control systems (Git, GitHub, Bitbucket). Strong communication skills and ability to work in a collaborative team environment. Some other highly valued skills may include: Experience with Cloud based services and integrations, Exposure to Databricks, Agile development practices and Familiarity with databases (SQL/NoSQL), DevOps, and Release management. 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. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

Responsibilities

Build and maintain data architectures, pipelines, warehouses, and lakes to ensure data accuracy and security. Collaborate with data scientists to deploy machine learning models and lead teams in delivering complex business-impacting tasks.