Cargill Hiring for Senior Data Engineer at Bengaluru, India Full Time

Job Purpose and Impact

The Senior Data Engineer in Cargill Data Function, you will design, build and deliver high-performance, data-centric solutions using comprehensive data capabilities of Cargill Data Platform. You will build data structures and pipelines to collect, curate and enable data for Supply Chain Initiatives.

Key Accountabilities

• Collaborate with the Business/Application/Process owners, and Product teams to define requirements and design solutions

• Participate in the architecture decision-making process

• Develop data products utilizing cloud-based technologies and ensure they are designed and built to be sustainable and robust

• Perform data modeling and prepare data in databases for use in various analytics tools and configurate and develop data pipelines to move and optimize data assets

• Must have Product Mindset and treat Data as an Asset

• Provide necessary technical support through all phases of Product life cycle

• Build prototypes to test new concepts and be a key contributor of ideas and code that improve the core software infrastructure, patterns and standards

• Help drive the adoption of new technologies and methods within the Data Engineering team and be a role model and mentor for data engineers

• Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff

Qualifications

Minimum Qualifications

• 7+ years of experience in Data Integration working proficiency in SQL and NoSQL Databases

• 7+ years of experience in Programming using Scala / Python / PySpark / Java etc.

• 7+ years of experience working with Hadoop or other Cloud Data platforms

• Experience in building CI/CD Pipelines and Unix scripting

• Demonstrated ability to quickly learn new/open-source technologies to stay current in the Data Engineering world

• Experience in developing software using agile methodologies such as Scrum/Kanban

• Bachelor’s degree in a related field or equivalent experience

Preferred Qualifications

• Experience in building batch and streaming data pipelines using Sqoop, Kafka and/or Spark

• Experience working with various types of data sources such as SAP, JDE and other ERP systems

• Experience in open-source projects leveraging collaboration tools like GitHub

• Knowledge in Supply Chain Area

• Knowledge in data integrations within C3.ai Platform

• Knowledge of HTML 5, XML, Ajax, Flex, Web services/REST APIs

Equal Opportunity Employer, including Disability/Vet.

At Cargill, everyone matters and everyone counts. Cargill is committed to creating and sustaining an inclusive and diverse work environment where all employees are treated with dignity and respect. As such and in alignment with our Guiding Principles, Cargill’s long-standing equal employment opportunity policy prohibits discrimination and harassment against any employee or applicant based on race, ethnicity, color, religion, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, disability, pregnancy, genetic information, marital status, family status, citizenship status, veteran status, military status, union affiliation, or any other status protected by law.

Cargill also complies with all applicable national and local laws and regulations pertaining to non-discrimination and employment.

Notice to Recruiters and Staffing Agencies: Cargill, Inc. and subsidiaries (“Cargill”) have an internal recruiting department. Please review this notice.

US Employment Resources: Equal Opportunity Employer, including Disability/Vet.