Implementation Partner: Mphasis
Phone number should be personal cell no and email id should be old personal and should be linked with any app like linkedin or insta or uber etc. because there will be a Turbochek process and if candidate fails in this then the profile will also be rejected.
Location: Sunnyvale, CA (Day One Onsite)
Job Description/Skills: Senior Data Engineer With Snowflake, Python and Machine Learning
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, GCP) for data engineering and machine learning.
- Knowledge of CI/CD pipelines for data and ML workflows.