AI Summary
Design, build, and maintain scalable data pipelines and systems. Collaborate with data scientists and stakeholders to deliver solutions. Ensure data quality and security across multiple platforms.
Key Highlights
Design and develop scalable ETL/ELT pipelines
Implement and optimize data models and data warehouses
Collaborate with data scientists and stakeholders
Mentor junior engineers and provide technical leadership
Technical Skills Required
Benefits & Perks
Fully remote position
Equal opportunity employer
Job Description
Our client is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and systems. The ideal candidate will have extensive experience working with large datasets, strong programming skills, and a deep understanding of data architecture. This role is critical to enabling data-driven decision-making across the organization. This is a fully remote position.
Senior Data Engineer’s Responsibilities And Duties
- Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
- Implement and optimize data models, data warehouses, and data lakes.
- Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver solutions.
- Ensure data quality, integrity, and security across multiple platforms.
- Monitor, troubleshoot, and improve existing data systems for performance and reliability.
- Mentor junior engineers and provide technical leadership within the data engineering team.
- Stay current with emerging trends and technologies in data engineering and analytics.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- 5+ years of professional experience in data engineering or a related role.
- Proficiency in SQL and at least one programming language such as Python, Java, or Scala.
- Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Spark, Hadoop, Kafka, etc.).
- Strong understanding of data warehousing, data modeling, and ETL/ELT processes.
- Familiarity with data governance, security, and compliance best practices.
- Excellent problem-solving, analytical, and communication skills.