Greif is a global leader in performance packaging located in 40 countries. The company delivers trusted, innovative, and tailored solutions that support some of the world's most in demand and fastest-growing industries.
With a commitment to legendary customer service, operational excellence, and global sustainability, Greif packages life's essentials - and creates lasting value for its colleagues, customers, and other stakeholders.
Learn more about the company's Customized Polymer, Sustainable Fiber, Durable Metal, and Integrated Solutions at www.greif.com and follow Greif on Instagram and LinkedIn.
Our Vision
To Be the Advantage That Helps Our Customers Win.
Our Purpose
Creating packaging solutions for life’s essentials.
Job Requisition #:
035861 Data Engineer (Open)
Job Description
Major Responsibilities
Analyze and organize raw data
Identify opportunities for data acquisition
Combine raw information from different sources
Build data systems and pipelines
Evaluate business needs, objectives and conduct complex data analysis
Prepare data for prescriptive and predictive modeling
Develop analytical tools and programs
Collaborate with data scientists, architects and business analysts on several projects
Regularly interact with various stakeholders to identify opportunities for improving analytic solutions
Collaborate with team members and management to proactively identify and solve data quality issues
Explore ways to enhance data quality and reliability
Performs other duties as assigned
Education And Experience
Bachelor’s Degree in Computer Science or Data Analytics or Data Science
2-3 years of hands-on experience as a data engineer or in a similar role
Knowledge of programming languages (e.g. Java and Python) and great numerical and analytical skills
Hands-on experience with SQL database design, Snowflake data warehouse or similar
Business analytics experience using Power BI (preferred), Tableau, Cognos
Good understanding of key metrics used in Finance, Sales, Manufacturing and Supply Chain
Conceptual understanding and technical expertise with data models, data mining, and segmentation techniques
Knowledge of data science tools such as AI/ML, Python and Microsoft Azure Services.
Data engineering certification (e.g Snowflake Data Engineer) is a plus
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Knowledge And Skills
Strong written and verbal communication skills in English.
Proven ability to work effectively with global stakeholders across multiple time zones.
Strong analytical and problem-solving skills with attention to detail and data quality.
Ability to manage multiple priorities in a structured and process-driven environment.
Customer-focused mindset with a proactive and collaborative approach.
Consistently exhibits a positive, “can-do” attitude
Ability to work independently with minimal supervision while contributing to team goals.
Willingness and ability to work flexible schedules, including partial or full overlap with US Eastern Time Zone working hours, on a regular basis
At Greif, we believe that our colleagues are the center of our success. Our Total Rewards have a comprehensive focus on well-being and offer a competitive package that enables you to thrive, be engaged, and reach your full potential.
Protect Yourself From Scams:We value the integrity of our recruitment process and prioritize the well-being of our candidates. While you may find Greif job postings on various platforms, all legitimate opportunities can be verified on our official Careers page at www.greif.com. All communication from Greif regarding job opportunities will also come from an @greif.com email address. If you have concerns about the legitimacy of a job posting, receive an unsolicited job offer or suspect fraudulent activity, please contact us for verification via this link Contact Us - Greif.
We offer a competitive salary, excellent benefits and opportunity for growth. Greif is an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of sex, race, religion, age, national origin, color, disability, veteran status or any otherany other legally protected characteristic.
For more information read Greif’s Equal Opportunity Policy.
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