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 #:
033238 Data Engineer (Open)
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 enterprise. In 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:
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 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
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
.
EEO Statement:
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.
