Senior Data Analytics Engineer at Rainforest Alliance

THE ROLE:

You will work with diverse business and development teams to gather, refine, and analyze data requirements. Through data analysis and understanding of the problem domain, you will present solutions to the business, then refine them into technical requirements for delivery by the DAP team.

The ideal candidate should be able to:

• Communicate with data stakeholders, capturing and documenting business requirements.
• Model data using third normal form, Data Vault, and dimensional techniques.
• Refine business requirements into technical, value focused stories.
• Mentor junior engineers.
• Design, build, and test data pipelines using SQL
• Monitor and maintain the data pipelines and data mart health, helping solve inconsistencies and issues efficiently.
• Help to build best practices to improve the quality, structure, and testing of ETL pipelines
• Design and build data warehouse components and quality monitoring solutions
• Participate in sprint planning and data model review sessions with the engineering team.

QUALIFICATIONS:

• Demonstrated ability (7 years) of data engineering experience.
• Strong proficiency in SQL.
• Strong business analysis and requirement analysis skills.
• Expertise in BI platforms and test design.
• Familiarity with Data Vault and dimensional modelling.
• Proficiency in Agile methodologies.
• Superb communication skills, both technical and business oriented.
• Proactive and organized approach.
• Fluent in English.

NICE TO HAVE:

• Affinity or exposure to Rainforest Alliance's sustainability objectives.
• Familiarity with Azure platform and Data Virtuality software.
• Familiarity with other data platforms and tools, and being able to explain the possibilities and restrictions.
• Ability to build reports and datasets using Power BI.
• Experience with designing and consuming REST API's for loading data changes from source systems.
• Working experience of source code repositories such as GIT.