Remote Senior Data Engineer

Description:

• The Senior Data Engineer will utilize Crosser and GCP BigQuery technologies to develop and optimize the company's data infrastructure.
• They will be responsible for managing and implementing large-scale data processing and analytics projects.
• Designing effective solutions to manage data flows and ensure data quality will be a key part of the role.
• Following and improving best practices in data engineering is essential for this position.

Requirements:

• A Bachelor's or Master's degree in Computer Science, Information Systems, or a related field is required.
• A minimum of 3 years of proven experience as a data engineer, preferably with expertise in Crosser and BigQuery.
• Cloud experience, preferably with Google Cloud Platform (GCP), is preferred.
• Experience in large-scale data processing and analytics projects is necessary.
• Strong knowledge of data manipulation tools such as SQL and Python is essential.
• The candidate should have strong communication skills, be teamwork-oriented, and proactive.
• Ability to innovate solutions and solve problems is a must.

Benefits:

• Remote working and flexible time off.
• Opportunity to get company-paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc).
• Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.).
• Opportunity to work on international projects.
• Private Health Insurance.
• Birthday Leave Policy.
• Dynamic work ecosystem where you can take initiative and responsibility.
• Open communication, flexibility, and start-up spirit.
• Learning & Development opportunities for both personal and professional growth.