Lead Data Engineer - Remote

Overview

As the Lead Data Engineer, you will lead the design and development of robust and scalable data pipelines on a modern data platform, working closely with cross-functional teams to ensure the reliability and performance of our data infrastructure.

In Short

• Lead the design, implementation, and maintenance of data pipelines on GCP and Snowflake.
• Collaborate with data scientists and analysts to understand data requirements.
• Optimize and enhance the performance of existing data pipelines.
• Stay updated on industry trends in data engineering.
• Implement best practices for data quality and validation.
• Create and maintain documentation for data pipelines.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or equivalent.
• 5+ years of experience in data pipeline design on cloud platforms.
• Expertise in Snowflake and real-time data processing.
• Proficient in Python and advanced SQL techniques.
• Experience with ETL/ELT processes and tools like dbt.
• Familiarity with Apache Airflow.
• Experience with GitHub for version control.
• Knowledge of data visualization tools.
• Strong collaboration and communication skills.
• Understanding of data privacy laws.

Benefits

• Supportive work environment.
• Opportunities for career growth.
• Access to cutting-edge technology.
• Mentorship from experienced developers.
• Inclusive and diverse workplace.