16 days ago
Chennai, IndiaMid Level
Responsibilities
- Build and maintain data architectures and pipelines for transferring and processing complete, consistent, and durable data.
- Design and implement data warehouses and data lakes that support appropriate data volumes, velocity, and security requirements.
- Develop processing and analysis algorithms suited to data complexity and volume.
- Improve the resilience, scalability, reliability, stability, throughput, and efficiency of Merchant Services payment systems.
- Identify performance bottlenecks and lead performance engineering initiatives under varying load conditions.
- Embed performance standards, risk controls, and service-level expectations throughout the software development lifecycle.
- Translate business requirements into scalable data and technology solutions using AI, automation, and cloud technologies.
- Transform complex datasets into actionable insights and develop data visualizations and dashboards.
- Collaborate with business analysts, solution architects, engineering teams, stakeholders, data scientists, and technology partners.
- Support requirements gathering, prioritization, planning, delivery, and value realization across project or product lifecycles.
- Maintain appropriate policies, procedures, controls, regulatory practices, and risk-mitigation measures.
Requirements
- Experience in solution design and AI implementation, including translating business requirements into scalable data and technology solutions.
- Strong understanding of Data Product operating models, modern data strategies, data architecture, and end-to-end data solution design.
- Experience in data analytics, reporting, data visualization, and dashboard development using Power BI and Tableau.
- Strong stakeholder engagement and collaboration skills across business and technology teams.
- Experience producing technical-to-business documentation and translations.
- Advanced proficiency in Excel and experience using JIRA.
- Preferred experience with SQL and data engineering platforms.
- Preferred experience with project or product management across the full lifecycle.
- Knowledge of Teradata and data warehouse technologies is highly valued.
- Experience in financial services or consulting, including familiarity with complex stakeholder environments, regulatory requirements, and change delivery, is highly valued.
- Ability to demonstrate risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job-specific technical skills.
Benefits
- The role is located in Chennai, India.
- The position offers collaboration across business, architecture, engineering, stakeholder, and technology partner teams.
- The role includes opportunities to contribute to critical payment systems and drive platform performance and reliability improvements.
Tech Stack
Categories
Data Engineering
About Barclays
Barclays is a UK‑based universal bank that provides retail and commercial banking, credit cards (Barclaycard), wealth management, and investment banking to consumers, businesses, and institutions. Publicly listed in London and New York, it generates revenue from net interest income, fees, and markets activities, and operates across Europe, the Americas, the Middle East, and Asia. Founded in 1690 and headquartered in London, it serves customers through digital channels and a branch network.