Data Engineer

Job Description

Join our growing team as a Data Engineer, where you will be responsible for developing and maintaining data architecture and pipelines. Your expertise with data integration and ETL processes will be vital in transforming raw data into actionable insights for our business. A background in cloud services like AWS or Azure is advantageous.

Responsibilities

• Build ETL processes to streamline data ingestion and transformation.
• Work with database technologies like MySQL, PostgreSQL, and NoSQL solutions.
• Ensure all created data solutions are robust, scalable, and reusable.
• Monitor performance and reliability of data workflows.
• Participate in code reviews and contribute to team knowledge-sharing.

Requirements

Education

• Bachelor's degree in Data Science, Computer Engineering, or related field
• Advanced certifications in data engineering are preferred

Experience

• 3+ years of professional experience in data-related roles

Technical Skills

• ETL Tools
• Data Warehousing
• Machine Learning

Soft Skills

• Problem-solving
• Attention to Detail

Certifications

• Google Professional Data Engineer
• Certified Data Management Professional (CDMP)

Languages

• English: Fluent

Advantageous

• Experience with Azure Data Factory: Hands-on experience in data orchestration using Azure services.
• Knowledge of Apache Kafka: Understanding of stream processing and data pipelines.

Benefits

• Health and wellness benefits inclusive of gym membership.
• Generous leave policies including vacation and personal days.
• A vibrant work culture with team-building activities.
• Support for continuous learning through workshops and webinars.

Company Culture

• Continuous Learning: We are committed to continuous learning, offering various training options for professional growth.
• Community Engagement: We believe in giving back to the community through involvement in local initiatives.
• Work-Life Balance: We strive to maintain a healthy work-life balance for all our employees.