Job Description:
As an Ingestion Engineer in the DDF team your key responsibilities are as follows:
1. Technical Proficiency:
Collaborate in hands-on development using Databricks Python PySpark ADF and other relevant technologies to ingest data for downstream consumption.
Assist in engineering and managing data models and pipelines within a cloud environment utilizing technologies like Databricks Spark Delta Lake and SQL.
Contribute to the maintenance and enhancement of our progressive tech stack which includes Python PySpark Logic Apps Azure Functions ADLS Django and ReactJs.
Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions.
Develop code that adheres to high-quality standards promoting a scalable and maintainable data platform.
2. Learning and Growth; Contribution to Solutions:
Collaborate with the team to learn and apply the best practices in data engineering.
Actively participate in engineering projects gaining experience in developing high-quality scalable and sustainable data solutions.
Stay updated with emerging technologies and trends in data engineering contributing to the teams knowledge base by sharing insights and ideas.
Assist in the development of data solutions within the Pet Nutrition data platform working on challenging aspects under the guidance of senior team members.
Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners.
Support the maintenance of a semantic and intelligent data layer to contribute to the comprehensive leadership of the data solution within the environment.
3. Collaboration and Communication:
Collaborate closely with analysts data scientists and team members to understand their requirements and assist in translating them into actionable data solutions.
Maintain effective communication with the Data Ingestion Lead actively participating in team discussions and sharing ideas to improve platform excellence.
#TBDDT
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