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

• Advanced SQL and data modelling for large-scale enterprise data platforms
• Experience on real-time data processing and Data engineering technologies such as Mongo DB,  Snowflake, or equivalent database platforms
• Understanding of SWIFT messaging standards: ISO 20022 (pain, pacs, camt) and SWIFT MT formats
• Domain knowledge of Payment processing systems, Clearing and settlement workflows, and financial message flows
• Proven experience creating source‑to‑target mapping documents for data integration projects
• Skills to define canonical data models, event schemas, and reporting structures across Kafka/Flink streaming pipelines and MongoDB
• Analyse event‑driven data flows, define mappings and acceptance criteria, validate data accuracy, and ensure delivered APIs meet client, regulatory, and operational reporting needs

Some other highly valued skills may include:

• MongoDB, SQL proficiency for data analysis and validation
• REST APIs, Microservices, and event-driven architecture concepts
• Exposure to event-driven architectures (Kafka/Flink)
• Experience with data governance, data quality, metadata management, and data lineage frameworks

 

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, stakeholder management, and digital and technology, as well as job-specific technical skills.

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.

Apply Link : https://search.jobs.barclays/job/pune/data-analyst/13015/100442629008