W2 Data Engineer
W2 Data Engineer
Charlotte, NC
Strictly W2 (No C2C)
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, GCP) for data engineering and machine learning.
· Knowledge of CI/CD pipelines for data and ML workflows.
W2 Data Engineer
Charlotte, NC
Strictly W2 (No C2C)
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, GCP) for data engineering and machine learning.
· Knowledge of CI/CD pipelines for data and ML workflows.
