To ensure effective movement, collection, integration, storage, and provisioning of data to meet business objectives through sound understanding of business unit requirements and frequent collaboration with relevant stakeholders (such as Enterprise Architecture, Database and Solution Architects, Business Intelligence Developers, Data Scientists and Product Owners, etc.)
Are you someone who can:
Create, construct, and deploy scalable data pipelines on platform to gather, store, and process data from diverse sources across the bank.
Acquire and collect data via ETL (Extract, Transform and Load) processes from source systems into the Reservoir and Enterprise Data Warehouse, adhering to the appropriate data platform standards.
Work closely with information architects, data modellers, data scientists, analysts, and other stakeholders to understand their data needs and provide them with high-quality, analytics-ready data.
Build working relationships across teams and functional lines to enhance work delivery, collaboration and innovation.
Confer with end users and senior management to understand business requirements for complex development or enhancements.
Manage the user acceptance testing UAT and associated signoff through change control.
Control expenditure and identify process improvements to contain and reduce costs.
Conduct research on emerging technologies.
Recommend and implement technologies that improve cost effectiveness and systems flexibility.
Assist with gap analysis and business cases including cost and effort analysis.
Execute remediation actions as agreed with the users.
Install or update required system components.
Implement the necessary components and frameworks required for automated deployments and task scheduling.
Build unit and systems tests to ensure successful delivery of components into production.
Develop and maintain the physical data marts and databases.
Automate tasks related to data pipelines for the deployment of operational analytics.
Prepare and provision data for advanced analytical modelling by data scientists (as and when applicable).
Implement quality checks, detect and correct errors, and monitor data systems to ensure data accuracy and integrity
Ensure compliance with data security, privacy regulations, and internal data governance policies.
Monitor, maintain, and optimise existing data infrastructure and pipelines for performance, efficiency, and scalability.
Create change scripts and sets scripts up to be ready and implemented in production.
Participate in architecture forums (as and when required).
Utilise various components and tools which make up the data platform for enhanced service delivery.
Create requirements and design of the technical architecture, design and development, testing, and deployment of the proposed solution.
Work with Senior Engineers to present technology solutions to senior leadership and influence architectures that will lead the transformation of our IT data analytics platform (as and when required).
Learn from the Subject Matter Expert on the technical environment or tools for own area of expertise.
Provide Analytic infrastructure or big data technologies related support to Data operations and Analytic teams.
Grow online technical knowledge platform, identify best practices and develop guidelines for optimum usage of tools.
Assist and work on projects to roll out and support to team members.
Participate in planned activities that are appropriate for own development.
Develop, encourage and nurture collaborative relationships across area of specialisation.
Technical Skills:
Control M
SQL
Oracle
ETL Tools.
You will be an ideal candidate if you:
Qualification: BSc Computer Science, Engineering, Informatics, BTech
Experience: 3/5 years relevant experience
End Date: March 5, 2026