Data Engineer

Responsibilities:

• Monitor and troubleshoot data pipelines and systems, addressing performance issues, errors, and anomalies.
• Implement security measures to safeguard sensitive information.
• Collaborate with cross-functional teams to design scalable data solutions that align with business needs.
• Manage data storage systems, including relational and NoSQL databases, and data warehouses.
• Stay informed about industry trends, best practices, and emerging technologies in data engineering, applying this knowledge to the organization's data infrastructure.
• Provide technical guidance to internal and external team members.
• Communicate effectively with all organizational levels to gather requirements, provide updates, and present findings.

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.
• 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.

Key Skills:

• Machine learning.
• Big data.
• Data modeling.
• Data warehouse.
• SQL.
• Data pipelines.
• SQL.
• Cloud computing.
• Data visualization.

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