Data Engineer

Barclays Capital; Pune District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Barclays Capital is seeking a Data Engineer to design and maintain data pipelines, data warehouses, and data lakes, ensuring data accuracy, security, and accessibility. You will work with streaming technologies to support real-time processing and collaborate with data scientists to deploy machine learning models.

The role requires hands-on experience with Databricks, AWS, Kafka, Flink, Snowflake, and related tools, aligned with Barclays' data strategy.

Qualifications

• Proven experience building data pipelines and data warehouses.
• Hands-on with cloud data platforms and streaming technologies.
• Experience with Agile methodologies and Scrum ceremonies.
• Ability to collaborate with data scientists to deploy models.

Responsibilities

• Build and maintain data architectures pipelines to enable data transfer and processing.
• Design and implement data warehouses and data lakes with appropriate security.
• Develop processing and analysis algorithms for complex data.
• Collaborate with data scientists to deploy machine learning models.
• Assist in refining governance and risk controls for data platforms.

Skills

Data pipeline design

Real-time data processing

Code reviews and testing

Scrum / Agile collaboration

Tools

Databricks

AWS

Kafka

Apache Flink

Snowflake

IBM MQ

Spring Boot

ELK stack

Kafka topics

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.

Join us as a Data Engineer at Barclays, where you will spearhead the evolution of our data platforms and real-time processing capabilities, driving innovation and operational excellence. You will harness cutting-edge cloud and streaming technologies to build and manage scalable, resilient, and secure data solutions, enabling seamless delivery of our digital and data-driven services.

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

• Experience in Databricks with creation of data products, pipelines, scheduling jobs, etc. in AWS.
• Develop Kafka Streams, Spring Kafka, and Apache Flink applications for real-time event processing
• Implement parsers for various message formats: ISO 20022 XML, SWIFT MT, JSON, and flat files
• Build data transformation logic to flatten hierarchical messages into target AVRO schemas
• Implement stateful transformations including aggregations, joins, and windowed operations
• Integrate with source systems via IBM MQ and Kafka topics
• Write clean, testable, and well-documented code following established standards
• Create and maintain unit tests and integration tests for developed components
• Participate in code reviews and incorporate feedback constructively
• Troubleshoot issues using ELK stack and application logs
• Actively participate in Scrum ceremonies and collaborate with team members
• Strong proficiency and solid understanding of core concepts and modern features with cloud technologies such as Snowflake, AWS, Databricks.
• Hands-on experience with Spring Boot a