Senior Data Engineer - Remote

Overview

Stord is seeking a highly experienced Senior Data Engineer to join our innovative team and play a critical role in shaping our data landscape.

In Short

• Design and implement scalable, reliable data pipelines using modern data engineering tools.
• Lead the re-architecture of our data warehouse to enhance performance and scalability.
• Develop and maintain robust data models ensuring data accuracy and integrity.
• Build and maintain data infrastructure on Google Cloud Platform (GCP).
• Monitor data pipeline performance and troubleshoot issues.
• Prepare and transform high-quality data for machine learning models.
• Provide technical guidance and mentorship to junior data team members.
• Champion data democratization across the organization.
• Document data pipelines and models for knowledge sharing.
• Communicate effectively with cross-functional teams and stakeholders.

Requirements

• 5+ years of hands-on experience in data engineering or related field.
• Expert-level proficiency in SQL and Python.
• Extensive experience with cloud platforms, preferably GCP.
• Strong expertise with data pipeline orchestration tools.
• Experience with data warehousing technologies like BigQuery or Snowflake.
• Familiarity with data lake concepts.
• Proficiency with data transformation tools (e.g., dbt).
• Solid understanding of data engineering best practices.
• Exceptional problem-solving and analytical skills.
• Excellent English communication skills.

Benefits

• Opportunity to work in a fast-paced startup environment.
• Chance to collaborate with a diverse group of professionals.
• Potential for career growth and development.
• Access to modern data tools and technologies.
• Supportive company culture promoting continuous learning.