Competitive pyy; not specified; generous 401k matc...
On-site
3-5 years experience in data engineering
Strong proficiency in sql and python
Experience with databricks spark sql delta lake
Gerber Childrenswear is seeking a Senior Analytics Engineer to enhance their analytics capabilities, focusing on scalable data solutions for decision-making across various business functions. The ideal candidate will have experience in data engineering, analytics, and proficiency in tools like SQL and Python, alongside strong communication skills for collaboration with stakeholders
Job Summary
The company is dedicated to a mission of providing safe, comfortable, and joyful products for children's first 1000 days and beyond.
This role involves leading the design of scalable data pipelines across financial, logistics, and sales domains to improve efficiency and profitability.
Employees receive competitive pay, comprehensive health and wellness programs, generous 401K matches, and opportunities for professional growth.
Matching Summary
Match Score: 85
Gerber Childrenswear is seeking a Senior Analytics Engineer to enhance their analytics capabilities, focusing on scalable data solutions for decision-making across various business functions. The ideal candidate will have experience in data engineering, analytics, and proficiency in tools like SQL and Python, alongside strong communication skills for collaboration with stakeholders.
Salary
Competitive Pay; Not specified; Generous 401K match included
Skills & Requirements
Must-have
3-5 years experience in data engineering
Strong proficiency in SQL and Python
Experience with Databricks Spark SQL Delta Lake
Building dashboards using Tableau or Power BI
API integration and ETL/ELT pipeline development
Nice-to-have
Mentoring junior and mid-level analysts
Experience with dimensional modeling concepts
Knowledge of CI/CD pipelines and Git
Ability to translate business requirements into solutions
Proactive identification of infrastructure improvements
Key Requirements
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or related field
3-5 years of experience in data engineering, analytics, or related field