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 & Experience
Bachelor's degree in Computer Science, Data Analytics, or equivalent degree
3-5 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 & 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.
We offer a competitive salary, excellent benefits and opportunity for growth. Greif is an equal opportunity employer. We will not discriminate against any
Benefits
Vision insurance
Additional Information
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:
Being the customer service company in the world.
OUR PURPOSE:
Creating packaging solutions for life's essentials.
Job Requisition #:
034390 Data Engineer (Open)
Job Description:
Greif · Chennai, India