Data Engineer at Pierre Fabre Laboratories in Secaucus, NJ

Summary: Pierre Fabre is the 2nd largest dermo-cosmetics laboratory in the world and a leading multinational specialty healthcare company. They are seeking a Data Engineer to design and implement scalable data architectures that align with business objectives, oversee data platforms, and collaborate on Master Data Management frameworks. Responsibilities: - Design and implement a scalable, high-performance data architecture aligned with business objectives - Integrate disparate data sources into a unified, reliable single source of truth - Cascade global strategy locally while pushing the boundaries of the data and tech stack - Enable seamless data flow between systems through robust data transformation and integration strategies - Modernize legacy data systems to enhance efficiency and drive innovation - Collaborate with the Head of Data to develop and implement a comprehensive MDM framework ensuring data integrity and governance - Establish and enforce best practices in data governance, working closely with global and regional teams - Drive system performance optimization and cost efficiency across data infrastructure - Continuously evaluate emerging technologies, mitigating potential disruptions while capitalizing on new opportunities for innovation - Advance a culture of excellence through collaboration, data ownership, and quality standards - Collaborate with local and global teams to share and implement best practices - Mentor and upskill team members, cultivate a data-driven culture, and ensure the organization leverages its information assets with integrity and strategic insight Required Qualifications: - Bachelor's or Master's degree in Computer Science, Information Systems, Business or a related field - 1-4 years of experience in IT, Data Engineering, or related fields - 1-4 years in data warehousing, ETL/ELT processes, and data modeling - 1-4 years of coding experience in SQL, Python, R, or similar languages - Experience working with Tableau and BI tools - Hands-on experience with cloud platforms (Snowflake, Denodo, Amazon Marketing Cloud, GCP) - Knowledge of data modeling principles, schema design, and dimensional modeling - A positive, adaptable attitude to thrive in a dynamic, multicultural environment - Deep expertise in data architecture, MDM, analytics platforms, and tools - Proven ability to translate business needs into technical solutions - Strong project management skills, managing multiple data sources and deadlines - Ability to architect and develop scalable data solutions, staying ahead of industry trends - Strong communication and collaboration skills with cross-functional teams Preferred Qualifications: - SQL language coding and Python or other programming languages are a plus - Knowledge of PowerBI or Tableau or comparable BI platform is a plus Required Skills: Data Architecture, Master Data Management, Data Governance, SQL, Python, R, Tableau, Business Intelligence Platforms, Cloud Platforms, Data Warehousing, ETL/ELT Processes, Data Modeling, Project Management Benefits: Medical, dental, and vision coverage, Voluntary benefits, A 401(k) retirement plan, A generous PTO policy, Paid company holidays, Paid parental leave, Employee discounts on our products, Professional development opportunities, Access to mental health and wellness programs