Build and optimize data pipelines, develop analytics solutions using SQL, Python, Snowflake, Alteryx, and Tableau, and ensure data quality and governance standards are maintained across all data assets
Job Summary
Build and optimize data pipelines, develop analytics solutions using SQL, Python, Snowflake, Alteryx, and Tableau, and ensure data quality and governance standards are maintained across all data assets.
The company is on a mission to build on its 100+ year legacy of delivering for its clients while evolving to meet tomorrow's challenges.
We thrive in a collaborative in-office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results.
Matching Summary
Build and optimize data pipelines, develop analytics solutions using SQL, Python, Snowflake, Alteryx, and Tableau, and ensure data quality and governance standards are maintained across all data assets.
Skills & Requirements
Must-have
Expert-level SQL query optimization
Python for data manipulation and ETL
Snowflake cloud data platform
Alteryx for data preparation
Tableau dashboards and reports
GIT version control
Nice-to-have
Continuous Improvement Mindset
Data-Driven Business Intelligence
Resourcefulness and Story Telling
AWS or Azure cloud platforms
DataOps and CI/CD pipelines
Key Requirements
5+ Years Required Work Experience
7+ Years Preferred Work Experience
Bachelor's Degree Required
10-15 years total experience in data engineering and analytics
Mandatory experience with Banking and Financial Institutions supporting US companies