Senior Data Engineer - Bayer (Hawaii)
Position Overview:
The Climate Corporation’s mission is to help the world’s farmers sustainably increase their productivity with digital tools. The Science Data Pipeline team is focused on ensuring that standard, high-quality data is available for analysis across our Science organization. This includes exploratory analysis of large data sets, data quality metrics identification, report creation, and development and maintenance of automation that makes data readily available to be used in analysis. This role will broadly influence the company’s products, operational effectiveness and shape the strategy for our data, our most influential business asset. We are looking for a candidate with a passion for data analysis and quality and who has a demonstrated knowledge of Python, SQL and strong communication and teamwork skills.
What You Will Do:
+ Develop tools to facilitate retrieval, curation and quality assurance for agronomic data and metadata
+ Map and analyze the relationships between data, features, and models
+ Create and maintain interactive dashboards to visualize data pipeline operations
+ Develop UDFs and Data Pipelines to enhance and accelerate pre-production model development
+ Maintain existing packages and promote community development of unified data pipelines and data standards packages
+ Collaborate with upstream/downstream teams to understand how and why data assets are being utilized
Basic Qualifications:
+ M.S. in Computer Science, Statistics, Mathematics, Engineering or related field with at least 3 years of relevant work experience or B.S. with at least 5 years of relevant work experience
+ Strong development experience in object oriented Python
+ Experience working with cloud tools such as AWS, Domino, and Spark
+ Excellent communication and collaboration skills
Preferred Qualifications:
+ Agronomic domain knowledge/previous work experience in plant or crop sciences.
+ Experience working with Apache ecosystem (e.g., Spark, Airflow)
+ Experience with CI/CD tools and deploying Python packages to Artifactory
+ Experience in network analysis
What We Offer:
Our teams are composed of industry experts, top scientists, and talented engineers. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible products and experiences for our customers.
We provide competitive salaries and some of the best perks in the industry, including:
+ Superb medical, dental, vision, life, disability benefits, and a 401k matching program
+ A stocked kitchen with a large assortment of snacks & drinks to get you through the day
+ Encouragement to get out of the office and into the field with agents and farmers to see first-hand how our products are being used
+ We take part and offer various workshops, conferences, meet-up groups, tech-talks, and hackathons to encourage participation and growth in both community involvement and career development
We also hinge our cultural DNA on these five values:
+ Inspire one another
+ Innovate in all we do
+ Leave a mark on the world
+ Find the possible in the impossible
+ Be direct and transparent
Learn more about our team and our mission:
The Climate Corporation - The Technology Behind Making A Difference
https://youtu.be/c5TgbpE9UBI or visit https://climate.com/careers
Climate aims to create a welcoming and collaborative environment for our employees in which a diverse set of perspectives and voices are represented and celebrated.
As part of our dedication to the diversity of our workforce, The Climate Corporation is committed to Equal Employment Opportunity and does not discriminate based on race, religion, color, national origin, ethnicity, gender, sex (including pregnancy), protected veteran status, age, disability, sexual orientation, gender identity, gender expression, or any unlawful criterion existing under applicable federal, state, or local laws. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@climate.com .
* This article was originally published here
