Associate Lead Data Integration Engineer

Introduction


Overview

•  

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

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)