Overview
On Site
Depends on Experience
Full Time
Skills
Amazon Web Services
Analytics
Cloud Computing
Collaboration
Communication
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Engineering
Data Integration
FOCUS
Good Clinical Practice
Google Cloud Platform
Machine Learning (ML)
Project Implementation
Management
Microsoft Azure
Microsoft Excel
Offshoring
Problem Solving
Python
Reporting
Snow Flake Schema
Tableau
Teamwork
Workflow
Job Details
Title: Senior Data Engineer
Location: Sunnyvale, CA
Job Type: Contract/W2
Job Description:
Key Skills: Tableau, Python, Snowflake.
Overview:
We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake. The ideal candidate will excel at collaborating with business users, cross-functional teams, and offshore teams to deliver high-quality data solutions. A solid understanding and experience with Machine learning is a valuable addition.
Key Responsibilities:
- Design, develop, and manage robust, scalable data pipelines and workflows using Python and Snowflake.
- Collaborate with business stakeholders to gather and translate requirements into actionable solutions.
- Partner with cross-functional platform teams and offshore resources to ensure seamless project execution.
- Build and optimize data models and architecture to support analytics and reporting needs.
- Monitor and improve data integration processes, ensuring accuracy, reliability, and performance.
- Explore opportunities to incorporate machine learning solutions into data engineering workflows.
Qualifications:
- 6+ years of experience in data engineering, with a strong focus on Python and Snowflake.
- Proven ability to work closely with business stakeholders to gather requirements and deliver impactful solutions.
- Extensive experience working with offshore and cross-functional teams.
- Excellent communication, problem-solving, and teamwork skills.
- Experience with machine learning concepts and applications.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) for data engineering and machine learning.
- Knowledge of CI/CD pipelines for data and ML workflows.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.