Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, metro location, and common Data Engineer title increase applicant competition.
Snowflake and finance platform focus moderately limits cross-industry transferability.
Director title, explicit 8+ years and mandatory Snowflake expertise create strict technical filters.
Support and enhance the FS analytics platform by designing and maintaining Snowflake dimensional models and ELT/ETL pipelines.
Optimize Snowflake performance including managing core objects and implementing performance improvements through query profiling and resource optimization.
Incorporate AI tools and Snowflake AI features such as Semantic Views to deliver measurable improvements in data solutions.
5-10 years of professional experience in Snowflake and related data engineering technologies.
Proficiency in SQL, data modeling, ETL/ELT pipeline development, and managing Snowflake features (AI/ML, data sharing, materialized views).
Experience with Python for data processing including libraries like Pandas and NumPy.
Work Experience Required: At least 8 years of relevant experience typically expected for this role.
Experienced data engineer capable of independently managing advanced Snowflake environments with strong knowledge of dimensional modeling and performance tuning.
Familiarity with integrating AI/ML tools and modern AI techniques into data engineering workflows to enhance platform capabilities.
Able to operate effectively in a fast-paced, global financial technology environment with strong communication skills and collaboration ability.