ApTask
Job Description: Senior Data Engineer
Location: Sunnyvale, CA (Local candidates preferred)
Rate : $65/HR
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.
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.