Sr Data Engineer

HELP US BRING THE GIFT OF HEALTH TO LIFE.

Working at Pharmavite is an experience like no other. With a focus on complete nutrition for all, each endeavor is urgent and every day counts. You'll have the opportunity to work on the #1 selling national vitamin and supplement brand, Nature Made, as well as an exciting portfolio of other products that are shaping the future of the healthy living industry. Consumer-driven innovation, high quality products and a promising portfolio, all driven by a team with a shared sense of purpose -- that's Pharmavite. Join us to bring the gift of health to life.

This role is not available for sponsorship including I-983 participation.

Position Summary:

Pharmavite is seeking a seasoned data engineer with a passion for solving complex technical challenges and driving innovation through data. As a key leader in Information Technology, you will leverage data to drive strategic decision-making and business outcomes and use current data technologies and programming languages to drive solutions. This person will play a pivotal role in shaping the future of our data ecosystem. You will leverage deep technical expertise to design, build, and optimize scalable data pipelines and ETL processes. Collaborating closely with cross-functional teams, you'll transform raw data into actionable insights, driving data-driven decision-making and delivering value to our organization. As a proactive problem-solver with excellent communication skills and a desire to continuously learn and grow in a dynamic environment, you can be a part of a team dedicated to driving innovation and excellence in data engineering.

Key Responsibilities:

• Close collaboration with cross-functional teams, including data scientists, analysts, and software engineers, understanding requirements and delivering value-based solutions.
• Provide technical leadership and mentorship to the organization, fostering a culture of learning and growth, and provide guidance on complex technical challenges, and empower team members to develop their skills and capabilities. 
• Commitment to continuous improvement across emerging technologies and best practices in data engineering, enhancing data efficiency, optimizing architecture, driving innovation, and ensuring the scalability and sustainability of data solutions.
• Establish and enforce data quality assurance that maintains the integrity and reliability of organizational data with robust data validation to ensure the accuracy, consistency, and compliance of data with organizational standards and regulatory requirements.
• Ensure the development and maintenance of a robust data infrastructure by designing and implementing scalable data pipelines and ETL processes to guarantee the efficient extraction, transformation, and loading of data from diverse sources.
• Design and implement scalable and efficient data integration solutions to consolidate, cleanse, and transform data from disparate sources into actionable insights.

Critical Success Factors:

• Ensure that data management initiatives align closely with the organization's strategic goals and objectives by understanding the business landscape and translating it into data strategies that drive value and support decision-making processes effectively.
• Have a focused attention to detail when designing and implementing data pipelines, ensuring that data is accurate, consistent, and compliant with relevant standards and regulations. With robust data quality checks and validation processes to maintain data reliability and trustworthiness.
• Stay abreast of emerging technologies and trends in data management and analytics to identify opportunities for innovation and optimization, evaluating new tools, methodologies, and approaches that enhance data capabilities and deliver competitive advantage.
• Develop and implement efficient data integration solutions that consolidate, cleanse, and transform data from various sources into meaningful insights. Architect data ecosystems that facilitate seamless data flow and interoperability across the organization.
• Strong problem-solving skills to identify issues, devise effective solutions, and optimize data pipelines for performance, scalability, and reliability 
• Stay informed of future trends and provide thought leadership on all aspects of responsible technology. 

Education and Experience:

• Education: Requires a four (4) year college or university degree in Computer Science, Computer Engineering, or related field and/or relevant equivalent experience. Mathematics, Statistics, or a Science-related field is a plus. 
• Certification: CDMP, CAP, MS Azure Data engineer, CIMP, and/or other data certifications are a plus.
• Experience: 5 years of experience