Remote Data Engineer at Agrovision

Description:

Agrovision is a global food company focused on revolutionizing the produce category, particularly in the berry market.
The company is seeking Data Engineers to design, build, and optimize data pipelines and analytics.
The role involves collaborating with cross-functional teams to ensure high-quality, structured data is available for end-users.
Responsibilities include enhancing data integrity, security, and automation, as well as supporting pipeline maintenance and troubleshooting.
Data Engineers will lead the definition of scalable data models for global operations and ensure data security standards are upheld.
This position is remote, with a preference for candidates located in Chicago, Boston, New York, Dallas, or Miami.

A BS/MS degree in Computer Science or Engineering is required, with a background in Mathematics and Statistics being a plus.
Experience with RDBMS such as Teradata, MS SQL Server, or Oracle in production environments is preferred.
Hands-on experience in data engineering and familiarity with databases/data warehouses is necessary.
Knowledge of Big Data platforms like Hadoop, Spark, Hive, HBase, and Map/Reduce is required.
An expert-level understanding of Python, particularly with libraries like Pandas, is essential.
Proficiency in shell scripting (e.g., Bash) and Python data application development is needed.
Excellent collaboration and communication skills are required for effective teamwork.
Strong analytical and problem-solving skills are essential for addressing complex challenges.
Experience working with BI teams and tools such as PowerBI is necessary to support analytics work.

Agrovision offers a tech-forward environment that embraces AI to enhance capabilities while maintaining a human-centric hiring approach.
The company aims to respond to applicants within two weeks, ensuring a timely application process.
Employees will be part of a mission-driven organization focused on inspiring enjoyable and nutritious snacking.