Lead the design, development, testing, and maintenance of scalable data architectures, ensuring alignment with business and technical objectives.
Spearhead the creation of sophisticated data pipelines using Python, leveraging advanced Snowflake capabilities such as Data Shares, Snowpipe, Snowpark, and more.
Oversee the implementation, management, and optimization of Snowflake and BigQuery databases, ensuring top-tier performance, security, and scalability.
Champion the application of data warehouse concepts, managing vast data across a myriad of storage platforms.
Collaborate intensively with data scientists, product teams, and other stakeholders to define and fulfill intricate data requirements for cross-channel budget optimization solutions.
Drive initiatives for new data collection, refining existing data sources, and ensuring the highest standards of data accuracy and reliability.
Set the gold standard for data quality, introducing cutting-edge tools and frameworks to detect and address data inconsistencies and inaccuracies.
Identify, design, and implement process improvements, focusing on data delivery optimization, automation of manual processes, and infrastructure enhancements for scalability.
Skills Required
Machine Learning
Python
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