Job Title: Technical Data Analyst Lead
Location: Chennai About Barclays
Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group. Risk and Control Objective
Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.
Working Flexibly
We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers’ and clients’ needs. Whether you have family commitments or you’re a carer, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life.
If you would like some flexibility, then please discuss this with the hiring manager. Introduction: Purpose of the proposed role is to be the Engineering Lead for the one of the Data Engineering Team. Develop and design ETL Solutions that can be reused for various data requirements with in Fraud TC. Creating standardised frameworks, designs for data engineering requirements in the fraud space from various Business Units (Analytics / Strategy / Quants). Understand ETL and BI landscape and the projects we are involved and delivering solutions to them. The role also involves to work with Fraud Machine Learning Platform engineering team. You will work with various federated teams and develop Ab Initio / Spark / BigData design, development and implementation.
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