Data Engineer

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• Minimum 5 years of relevant professional experience in data engineering.
• Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL, with the ability to implement data automations within existing frameworks.
• Familiarity with engineering best practices, including source control, automated testing, continuous integration and deployment, and peer review.
• Knowledge of data warehousing concepts and tools.
• Experience with cloud computing platforms.
• Understanding of agile development methodologies and software design patterns.
• Strong analytical thinking and problem-solving abilities.
• Excellent verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
• Ability to adapt to evolving project requirements and priorities.
• Outstanding interpersonal skills and the ability to develop productive working relationships with colleagues and partners.
• Demonstrated capability to work well independently and as part of a team.

Key Skills:

• Data pipelines.
• Cloud computing.
• Machine learning.
• Coding.
• Big data technologies.
• Data warehouse.
• ETL tools.
• Python.
• SQL.