Professional Claims Managers
From Professional Claims Managers's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
How you'll make an impact Responsibilities: Developes, maintains, and tests infrastructures for data generation.
Introduction Welcome to Gallagher in India — where expertise, technology, and purpose come together. Since 2006, Gallagher in India has supported global teams by delivering quality, service, and speed through deep expertise, smart technology, and specialized knowledge services. More than just an operations center, it’s a place where careers grow through collaboration, continuous learning, and purposeful work. We drive efficiency, compliance, and innovation so our teams can focus on serving clients. If you enjoy solving problems and working with purpose, Gallagher is the place where you can grow and feel a sense of belonging. How you'll make an impact Responsibilities: Developes, maintains, and tests infrastructures for data generation. Creates and maintains optimal data pipeline archictecture and assembles data to meet business needs. Assembles large, complex datasets that meet functional / nonfunctional business requirements. Identifies, designs, and implements internal process improvements; automates manual processesprocesses, optimizing data delivery and redesigning infrastructure for greater scalability. Builds infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies. Works with stakeholders including the Executive, Product, Data, and Design teams to assist with datarelated technical issues and support data infrastructure needs. Keeps data separated and secure across national boundaries through multiples data centers and AWS regions. Creates data tools for analytics and data scientist team members that that assist with building and optimizing products into innovative, industry leaders. Oversees data generation infrastructure. Builds analytics tools to provide actionable insights and assist data science and analytics team members with building bestinclass products. Work with stakeholders to assist with datarelated tech issues and support data infrastructure needs. INTERMEDIATE: Applies practical knowledge of sub-function area typically obtained through advanced education and work experience. May require the following proficiencies: Working independently with general supervision. Facing IT function related problems that are difficult but typically not complex. Potentially influencing others within the function through explanation of facts, policies and practices. About you Qualifications: University Degree and minimum 3 years of prior relevant experience, or equivalent experience. Preferred: SQL Python, Azure data factory, Data; Bricks, Spark (experience would be a plus) Data transformation Cloud Data Experience Distributed data warehouse knowledge Data Lakes Communication and stakeholder management skills Additional Information At Gallagher, we believe supporting our colleagues goes far beyond the role itself. For more information, visit our Benefits page. Competitive compensation Comprehensive benefits programs designed to support your well-being Career development opportunities and ongoing learning A collaborative, people-first culture with accessible leadership The opportunity to do meaningful work with global reach and local impact At Gallagher, we are dedicated to building an inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to join our Talent Community to stay connected to additional career opportunities. At times, we will consider transferable skills from previous roles. Gallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled) Responsibilities: Developes, maintains, and tests infrastructures for data generation. Creates and maintains optimal data pipeline archictecture and assembles data to meet business needs. Assembles large, complex datasets that meet functional / nonfunctional business requirements. Identifies, designs, and implements internal process improvements; automates manual processesprocesses, optimizing data delivery and redesigning infrastructure for greater scalability. Builds infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies. Works with stakeholders including the Executive, Product, Data, and Design teams to assist with datarelated technical issues and support data infrastructure needs. Keeps data separated and secure across national boundaries through multiples data centers and AWS regions. Creates data tools for analytics and data scientist team members that that assist with building and optimizing products into innovative, industry leaders. Oversees data generation infrastructure. Builds analytics tools to provide actionable insights and assist data science and analytics team members with building bestinclass products. Work with stakeholders to assist with datarelated tech issues and support data infrastructure needs. INTERMEDIATE: Applies practical knowledge of sub-function area typically obtained through advanced education and work experience. May require the following proficiencies: Working independently with general supervision. Facing IT function related problems that are difficult but typically not complex. Potentially influencing others within the function through explanation of facts, policies and practices. Qualifications: University Degree and minimum 3 years of prior relevant experience, or equivalent experience. Preferred: SQL Python, Azure data factory, Data; Bricks, Spark (experience would be a plus) Data transformation Cloud Data Experience Distributed data warehouse knowledge Data Lakes Communication and stakeholder management skills
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