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 worlds most in demand and fastest-growing industries.

With a commitment to legendary customer service operational excellence and global sustainability Greif packages lifes essentials - and creates lasting value for its colleagues customers and other stakeholders.

Learn more about the companys Customized Polymer Sustainable Fiber Durable Metal and Integrated Solutions at and follow Greif on Instagram and LinkedIn.

OUR VISION:

Being the customer service company in the world.

OUR PURPOSE:

Creating packaging solutions for lifes essentials.

Job Requisition #:

Job Description:

Greif is seeking a skilled Data Engineer to join our global data team in India. This role will be responsible for designing developing and supporting scalable data pipelines and data platform capabilities that improve data reliability quality and accessibility across the addition to core data engineering responsibilities this position will support the enterprise data platform for traditional AI and GenAI use cases including proofs of concept (PoCs) and pilot initiatives.

The Data Engineer will work closely with data scientists architects and analytics teams to ensure data is well-prepared governed and performant for AI experimentation and deployment. The role will collaborate with technology and business stakeholders across India the US and EMEA providing both development and operational (administrative) support for enterprise data platforms.

Major Responsibilities

• Analyze profile and organize large volumes of structured and semi-structured data
• Design develop test and maintain robust ETL/ELT pipelines using Azure Data Factory and Python
• Build and optimize data warehouse data lake and data platform solutions (e.g. Snowflake or similar platforms)
• Integrate and harmonize data from multiple internal and external sources
• Support data acquisition and ingestion strategies aligned with business and AI use-case needs
• Collaborate with AI Lab teams to prepare curate and optimize data sets for AI/ML as well as GenAI PoCs and pilot solutions
• Enable scalable and reusable data assets that support experimentation feature development and model training
• Evaluate business requirements and translate them into scalable data engineering and platform solutions
• Prepare data for descriptive predictive and prescriptive analytics
• Develop reusable data engineering frameworks utilities and analytical tools
• Collaborate closely with data scientists data architects BI developers and business analysts
• Regularly interact with global stakeholders to identify opportunities to enhance analytics AI and data platform capabilities
• Proactively identify troubleshoot and resolve data quality performance and reliability issues
• Provide administrative and operational support for the data platform including monitoring access support incident resolution and basic platform maintenance
• Contribute to documentation standards and best practices for data engineering and AI-ready data platforms
• Perform other duties as assigned

Education and Experience:

• Bachelors degree in Computer Science Data Analytics or equivalent degree
• 35 years of hands-on experience as a Data Engineer or in a similar role
• Strong programming experience with Python
• Advanced SQL skills including complex queries and performance tuning
• Hands-on experience with Snowflake or similar cloud data warehouses
• Experience supporting analytics and visualization tools such as Power BI (preferred) Tableau or Cognos
• Good understanding of business domains such as Finance Sales Manufacturing and Supply Chain
• Conceptual and practical understanding of data modeling data integration and data transformation techniques
• Experience with Microsoft Azure services including Azure Data Factory Azure Data Lake Microsoft Fabric and related platform services
• Exposure to AI/ML workflows feature engineering concepts or data preparation for machine learning is a plus
• Relevant certifications (e.g. Snowflake Data Engineer Azure Data Engineer) are desirable

Knowledge and Skills:

• Self-motivated with the ability to work independently in a global matrixed environment
• Strong verbal and written communication skills including the ability to explain technical concepts to non-technical stakeholders
• Demonstrates a strong sense of ownership urgency and accountability
• Comfortable supporting both stable production platforms and fast-paced AI PoCs/pilots
• Strong analytical and problem-solving skills
• Consistently exhibits a positive proactive and can-do attitude

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 . All communication from Greif regarding job opportunities will also come from an @ 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.

EEO Statement:

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 Greifs Equal Opportunity Policy.