Data Modeler II [T500-21526]

About ADM :

We are one of the world’s largest nutrition companies and a global leader in human and animal nutrition. We unlock the power of nature to provide nourishing quality of life by transforming crops into ingredients and solutions for foods, beverages, supplements, livestock, aquaculture, and pets.

About ADM India Hub :

At ADM, we have long recognized the strength and potential of India’s talent pool, which is why we have maintained a presence in the country for more than 25 years. Building on this foundation, we have now established ADM India Hub, our first GCC in India.

At ADM India Hub, we are hiring for IT and finance roles across diverse technology and business functions. We stand at the intersection of global expertise and local excellence, enabling us to drive innovation and support our larger purpose of unlocking the power of nature to enrich quality of life.

Data Modeler II

Company Introduction :

ADM is seeking a Data Modeler who can partner with Solution Leads and Global Process Owners to understand comprehensive business processes, strategy, standards and source systems in order to develop their data and analytical solutions. Communicate Data and Analytics (DnA) capabilities with DNA Leadership, Portfolio Office and Transformation Office to ensure requests are captured and treated in accordance with the IT operating model, demand management processes and delivered in alignment to DNA’s data and application strategies

Job Description :

The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests.

The successful candidate will :

• Be responsible for the development of logical and physical data models across all enterprise data platforms.
• Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.
• Demonstrated success in an Agile environment.
• The candidate must be able to work independently and collaboratively.

Responsibilities :

Skills :