October 20
• Design, develop, and optimize data pipelines and integration processes. • Provide guidance and mentorship to junior team members. • Contribute to the design and development of data solutions, improving data availability and reliability. • Effectively communicate with stakeholders, providing technical expertise and insights. • Contribute to the evolution of the data engineering architecture and best practices. • Demonstrate proficiency in data modeling, SQL, ETL processes, data warehousing, and cloud platforms. • Utilize experience with Google Cloud Platform, especially BigQuery, Dataform, and VertexAI. • Plan and prioritize tasks, ensuring the timely delivery of data engineering projects.
• Proven experience as a Senior Data Engineer with a focus on data pipeline design and development. • Strong proficiency in data modeling, SQL, ETL processes, data warehousing, and cloud platforms. • Experience with Google Cloud Platform, especially BigQuery, Dataform, and VertexAI. • Senior-level Python engineering skills with the ability to design and develop data-driven software solutions. • Effective communication skills and the ability to collaborate with cross-functional teams. • Demonstrated mentorship and guidance to junior team members. • Understanding of business requirements and contribution to data engineering strategies.
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