Data Engineer

To Be the Advantage That Helps Our Customers Win. 

Creating packaging solutions for life’s essentials. 

·         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

·         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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·         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

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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. 

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https://www.greif.com/wp-content/uploads/2023/04/HR-101-Equal-Employment-Opportunity-Policy-English.pdf

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 other any other legally protected characteristic.

For more information read Greif’s Equal Opportunity Policy.