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.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• 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 develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

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.

At Barclays, we don’t just adapt to the future – we create it. Embark on a transformative journey as part of the AWS Data Engineer, where you’ll play a pivotal role in ensuring the resilience, scalability, and reliability of critical Digitized MI architecture within the Management Information reporting domain. You will be a key contributor championing quality and performance for systems that power Business reporting on multiple technologies, focusing on driving improvements in system stability, throughput, efficiency, and control.

Working closely with BA, SA, Engineering teams and stakeholders across multiple business divisions such Investment Bank, Barclays UK etc, you will help deliver high-performing solutions through agile delivery models. You will collaborate to understand system benchmarks, identify performance bottlenecks, and lead performance engineering initiatives while interfacing with technology partners to ensure optimal system behaviour under varying load conditions.

Improving the ongoing drive to enhance platform performance and reliability, you will champion a data-driven and collaborative approach, ensuring that performance considerations are embedded throughout the software development lifecycle. Additionally, ensuring compliance with performance standards, risk controls, and service-level expectations will be a key responsibility.

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

• Experience in designing & building Astronomer/Airflow DAGs.
• Working knowledge of pySQL, pySpark for data processing.
• Python programming: pandas, boto3, PySpark for data processing.
• Design & Build MI solutions using different AWS Services (S3, EC2, IAM, Glue, Lambda, Step Functions, CloudFormation, ServiceCatalog).

Some of Highly Valued Skills may include:

• Design & building Data models/Business Transformations in Snowflake.
• Exposure of GitLab CI/CD for automated deployment to Production environment.
• DBT/Spark for analytics engineering and data transformation.
• Tableau/Power BI for business intelligence and reporting.
• Hands-on experience in setting up finer grain access using Immuta.

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.

The location of the role is Pune, IN