Job Description
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. LEAD: Recognized subject matter expert in sub-function typically obtained through advanced education and work experience. Responsibilities typically include: Managing large projects or processes and/or products and systems with limited oversight from management. Coaching, reviewing and delegating work to lower-level professionals. Facing IT function related problems that are difficult and moderately complex. Serving as an expert within own discipline About you Qualifications : University Degree and minimum 7 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 Compensation and benefits On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. Below are the minimum core benefits you’ll get, depending on your job level, these benefits may improve: Medical Insurance and Parental Medical Insurance Accidental Insurance and Life Insurance Retirals - Employee Gratuity, Future Service Gratuity benefit - Group Term Life, Employee Provident Fund, National Pension Scheme Flexi Benefits Plan - Tax Savings Plans Educational expense reimbursement Annual Leave/ Maternity & Paternity Leave/ Additional paid ML, Mental Health Day Other benefits include: Employee Wellness Programs Training programs And more.. We value inclusion and diversity Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination.
Qualifications : University Degree and minimum 7 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
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. LEAD: Recognized subject matter expert in sub-function typically obtained through advanced education and work experience. Responsibilities typically include: Managing large projects or processes and/or products and systems with limited oversight from management. Coaching, reviewing and delegating work to lower-level professionals. Facing IT function related problems that are difficult and moderately complex. Serving as an expert within own discipline