Job Information
Cargill Senior Data Engineer - Tech Lead in Bengaluru, India
Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.
Job Purpose and Impact
As a Senior Data Engineer at Cargill you work across the full stack to design, develop and operate complex high performance and data centric solutions using our comprehensive and modern data capabilities and platforms. You will play a critical role in enabling analytical insights and process efficiencies for Cargill’s diverse and complex business environments. You will work in a small team that shares your passion for building innovative, resilient, and high-quality solutions while sharing, learning and growing together.
Key Accountabilities
Collaborate with business stakeholders, product owners and across your team on product or solution designs.
Develop robust, scalable and sustainable data products or solutions utilizing cloud based technologies.
Provide complex technical support through all phases of product or solution life cycle.
Perform data analysis, handle data modeling and configure and develop data pipelines to move and optimize data assets.
Independently build moderately complex prototypes to test new concepts and provide ideas on reusable frameworks, components and data products or solutions and help promote adoption of new technologies.
Qualifications
MINIMUM QUALIFICATIONS
Bachelor’s degree in a related field or equivalent experience
Minimum of four years of related work experience
Other minimum qualifications may apply
PREFERRED QUALIFICATIONS
Experience developing modern data architectures, such as data warehouses, data lakes, data meshes, hubs and associated capabilities including ingestion, governance, modeling, observability and more.
Experience with data collection and ingestion capabilities, such as AWS Glue, Kafka Connect, Flink and others.
Equal Opportunity Employer, including Disability/Vet.