Data Engineer

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...