McCormick & Company - Data Engineering Manager - ETL

Position Overview :

This role will be responsible for designing, building, and maintaining scalable data pipelines and architectures to support the global businesss data needs. The Data Engineer will ensure the availability, reliability, and performance of data systems by integrating raw data from various sources, optimizing data storage solutions, and enabling advanced analytics. Key responsibilities include data modeling, ETL (Extract, Transform, Load) development, and ensuring data quality and security. Effective communication skills, attention to detail, problem-solving abilities, and a strong understanding of modern data engineering tools and technologies are essential. A willingness to collaborate across teams, adapt to evolving business requirements, and continuously learn new techniques and technologies is critical to success in this role.

Key Responsibilities :

- Coordinate with the business and data owners to design and build new data models within Azure

- Lead discussions with IT for data exposure prioritization and cloud platform maintenance

- Monitor data pipeline performance, identify bottlenecks, and troubleshoot issues to ensure smooth and efficient data operations.

- Maintain comprehensive documentation of data pipelines, processes, and best practices to facilitate knowledge sharing

- Ensure data quality and security of the data pipelines, replicating the security structure provided by the raw data sources being accessed

Secondary Responsibilities :

- Ability to achieve project goals and objectives by applying the discipline of planning, organizing, and managing resources to bring about successful project completion

- Continuously seek out industry best practice and skills to develop new capabilities for data engineering at McCormick and help drive our digital transformation

Required Qualifications :

- Bachelors degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field Certification and/or Licenses

Experience :

- Advanced analytical skillset.

- Proficiency in cleaning, visualizing, analyzing, and presenting insights from data sets

- Demonstrated ability coding in one or more languages (PySpark preferred)

- Experience with data visualization software (Power BI preferred)

- Experience with building data pipelines

- Demonstrated ability to manage multiple priorities simultaneously

Interpersonal Skills :

- Leadership, interactions, communication, influence

- Strong technical curiosity and passion for problem solving and innovation

- Ability to simplify and communicate complex information to internal audiences

- Ongoing aspiration to learn about new industry tools

- Continuous improvement mindset with the ability to use a systemic approach to problem solving.

- Ability to work with different regions and cultures

Other Skills and Competencies : Fluent English is required

Preferred Qualifications :

- Master's Degree in related field Certification and/or Licenses

- Experience with Cloud based tools (Azure preferred)

- Experience with an ERP system SAP preferred.

- Technical knowledge for Data environments, transformation, and ML Opps

- Ability to connect the dots between complex data and business application

- Technical knowledge for backend development