Data Engineer

Job Description

As a Data Engineer, you’ll be responsible for managing and optimizing our data pipelines and architectures. Collaborating with cross-functional teams, you'll ensure the data's accuracy and accessibility while innovating ways to enhance our data collection and analysis processes.

Responsibilities

• Develop and maintain ETL processes for various data sources.
• Work with stakeholders to gather data requirements and deliver analytics.
• Automate manual data processes to enhance efficiency.
• Design data warehouse schemas to support analytical processes.
• Implement data governance best practices to ensure compliance.
• Provide support for data-related issues and queries.
• Work with cloud-based data platforms and tools.

Requirements

Education

• Bachelor's degree in Computer Science, IT, or related field
• Master's degree preferred

Experience

• Minimum 3 years of experience in data engineering or a related field

Technical Skills

• SQL
• Python
• Apache Spark
• AWS or Azure

Soft Skills

• Analytical Thinking
• Team Collaboration
• Attention to Detail

Certifications

• AWS Certified Data Analytics – Specialty
• Google Cloud Professional Data Engineer

Languages

• English: Fluent

Advantageous

• Experience with NoSQL databases: Knowledge of NoSQL databases like MongoDB or Cassandra.
• Experience in Data Warehousing solutions: Familiarity with data warehousing architectures and ETL processes.

Benefits

• Competitive salary with performance-based bonuses
• Health and wellness benefits
• Workplace flexibility with hybrid options
• Continuous learning and development opportunities

Company Culture

• Innovation: Our team thrives on innovation and creative problem-solving.
• Collaboration: We promote a collaborative and inclusive environment.
• Continuous Improvement: We believe in constant learning and growth, both individually and as a team.