Top Tech Jobs & Startup Jobs in Delhi

Senior Business Analyst specializing in Python, SQL, data analysis, and stakeholder management at Capco, a global technology and management consulting firm. Responsible for transforming the financial services industry through innovative projects with banks and insurance companies.

The Database Test Engineer will work on database and ETL testing within the banking sector. Responsibilities include writing test cases, managing the defect lifecycle, and ensuring data integrity through testing of relational databases and data flow across multiple systems. A strong understanding of banking processes and SQL is essential.

This role involves providing business analysis for Global Banking Operations, managing requirements development for transformation projects, writing EPICs and User Stories, supporting product owners, and ensuring defect-free requirements.

The Product Owner is responsible for managing regulatory due diligence systems, working with stakeholders to implement changes driven by regulatory requirements. This role involves prioritizing product backlogs, drafting user stories, facilitating scrum ceremonies, and supporting UAT and training efforts. The candidate will also drive continuous service improvements using data-driven methodologies in an Agile environment.

The Senior Consultant will leverage strong Unix and shell scripting skills for system administration and automation, manage enterprise batch scheduling systems, conduct SQL operations and troubleshooting, collaborate on design and deployment solutions, and communicate effectively with stakeholders.

The Senior Consultant will leverage their Unix and shell scripting skills for system administration, manage enterprise batch scheduling systems like TWS or Autosys, utilize SQL for data operations, and troubleshoot technical issues. The role requires collaboration with teams and effective stakeholder communication.

The Senior Data Analyst will define data sources for insights, determine data mappings across multiple sources, highlight data inconsistencies, assist with data migration, and manage stakeholder expectations. A strong analytical background and experience in financial services, particularly with data models and risk analysis, is essential.