Remote Data Engineer (Mid)

Description:

• The Data Engineer will be responsible for designing, implementing, testing, and maintaining data models within the data lake architecture to support advanced analytics.
• They will need to ensure that the data models are scalable, maintainable, and optimized for high performance.
• The role involves designing and managing workflows using Apache Airflow and collaborating with various team members to achieve project goals.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field is required.
• The candidate should have at least 3 years of experience in a data engineering role, preferably with exposure to data lake environments.
• Proficiency in SQL and Python for complex queries and analytics is essential.
• Experience with ETL processes and tools is necessary.
• Strong understanding of the Hadoop ecosystem, including Hive and Apache Spark, for processing large datasets is required.
• Familiarity with Apache Airflow for workflow management and major cloud platforms (AWS, Azure) is expected.
• The ability to work in a team environment, excellent problem-solving skills, and certifications in Big Data technologies and cloud platforms are preferred.

Benefits:

• Competitive salary offered.
• Enjoy a friendly, pleasant, and creative working environment.
• Remote working opportunity available.
• Development opportunities to enhance skills and knowledge.
• Private health insurance provided.