Farmers needs to acquire, curate, and publish data both on prem and in the cloud for analytical or operational uses for moderate scenarios, ensuring the data is in a ready-to-use form that creates a single version of the truth across all data consumers.
Requirements
- Advanced experience in SQL, Spark (Scala or Python), Spark SQ or equivalent.
- Advanced experience in dimensional modeling.
- Advanced Experience building data pipelines to transform data as per 1 of 2 business logic.
- Advanced knowledge and understanding with pipeline orchestration.
- Advanced understanding of cloud computing environments.
- Advanced experience with BI visualizations such as Power BI, Tableau etc.
- Demonstrated experience interacting with executive and senior leadership stakeholders around the topics of data access, quality, appropriate use, metric definitions and standardization.
Responsibilities
- Consults on data projects of varying complexity, with minimal coaching and guidance, to understand design requirement and existing business processes to lead in the design, development, and implementation of data products.
- Practices code management and integration with current architectural and data governance guidelines with minimal oversight.
- Produces advanced data building blocks, data models, and data flows for varying client requests such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research exploration independently.
- Creates business user access methods to structured and unstructured data.
- Utilizes techniques such as mapping data to a common data model, natural language processing, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation of data content.
- Translates business data stories into a technical story breakdown structure and work estimate for a schedule or planned agile sprint.
- Develops and maintains advanced to complex scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support increased demands of data volume and complexity.
Other
- 5-7 years of related experience required.
- High School Diploma or equivalent required.
- Bachelor's degree preferred.
- Possesses strong technical aptitude.
- Strong verbal communication and listening skills.
