Barclays

DataEngineer

Pune, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer at Barclays. Skills: Data Engineering, ETL, Data Warehousing, Data Lakes, Data Processing, Python, Cloud Platforms (AWS), Infrastructure as Code (IaC), CI/CD, Version Control. Build and maintain the systems that collect, store, process, and analyse data. Build and maintenance of data architectures pipelines”

What You'll Achieve.

ensure that all data is accurate, accessible, and secure; deliver on work that impacts the whole business function; create an environment for colleagues to thrive and deliver to a consistently excellent standard; meet required outcomes; strengthening controls in relation to the work done; achievement of the objectives of the organisation sub-function; keep up to speed with business activity and the business strategy; ensuring unparalleled customer experiences

Industry & Context.

Problems you'll solve

Engage in complex analysis of data from multiple sources of information; solve problems creatively and effectively

What They're Looking For.

Must Have

Experience in ETL / data processing / data warehousing / data engineering / RDBMS / PySpark, Experience in Data Processing and ETL in On-prem and Cloud based systems, 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)

Nice to Have

AWS cloud development, with a understanding of AWS services (e. g. , EC2, S3, Lambda, RDS, DynamoDB, etc. ), Experience with Cloud based services and integrations, Exposure to Databricks, Agile development practices, Familiarity with databases (SQL/NoSQL), DevOps, Release management

What You'll Do.

Build and maintain the systems that collect

Build and maintenance of data architectures pipelines

Design and implementation of data warehoused and data lakes

Development of processing and analysis algorithms

Collaboration with data scientist to build and deploy machine learning models

supporting the successful delivery of location strategy projects to plan

agreed quality and governance standards

spearhead the evolution of our digital landscape

driving innovation and excellence

harness cutting-edge technology to revolutionise our digital offerings

How You'll Work.

Team & Collaboration

Collaborate closely with other functions/ business divisions; Lead a team performing complex tasks; Lead collaborative assignments and guide team members; Consult on complex providing advice to People Leaders; Perform work that is closely related to that of other areas; Collaborate with other areas of work; work in a collaborative team environment

Communication Scope

Communicate complex information; Influence or convince stakeholders to achieve outcomes

Process & Methodology

Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes, identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes, plan, budget, agreed quality and governance standards

Full Job 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

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