Data Engineer I (5–8 Years' Experience Required)

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.​




OVERVIEW

The Enterprise Data Development team is responsible for designing & architecting solutions to integrate & transform business data into Data Warehouse to deliver data layer for the Enterprise using cutting edge cloud technologies like GCP. We design solutions to meet the expanding need for more and more internal/external information to be integrated with existing sources; research, implement and leverage new technologies to deliver more actionable insights to the enterprise. We integrate solutions that combine process, technology landscapes and business information from the core enterprise data sources that form our corporate information factory to provide end to end solutions for the business.

KEY ACCOUNTABILITIES

• Design, build, and supportGCP, ETL, and SQL solutions

• Work effectively in adistributed global team environment

• Partner with architects, solution managers, analysts, and stakeholders to deliver business solutions

• Analyze processes and user requirements to improve efficiency and generate insights

• Support existingdata warehouses, related jobs, and scheduling tools likeTalend, Tidal, Airflow, and Linux

• Lead small projects, manage multiple stakeholders, and handle ambiguity and complexity

• Driveautomation, continuous improvement, and adoption of new technologies

• Train team members, business users, and IT teams while sharing technical knowledge

MINIMUM QUALIFICATIONS

• Education: Minimum Degree Requirements: Bachelors (Full time from accredited Institute).

• Experience: 5–8+ years of experience as aData Engineeror in a similar role

• Strong hands-on experience incloud data engineering services, withGCP preferred

• Expertise inSQL, Python, and Data Warehousing concepts

• Good working knowledge ofBigQuery, Composer, Cloud Functions, and dbt

• Experience withcloud storage and data platformssuch asS3 / Blob Storage

• Understanding ofSAP landscape, Data Governance tools, and Cyber Security requirements

• Strongcommunication, analytical thinking, and stakeholder managementskills

• Basic understanding ofdata modelling concepts

PREFERRED QUALIFICATIONS

• GCP Data Engineer certification, GCP certification

• Understanding of CPG industry




ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.