Data Engineer

Overview

• Develop and implement innovative data engineering solutions to drive organizational success and efficiency.
• Collaborate with multidisciplinary teams to optimize data workflows and analytics processes.
• Leverage advanced technologies to enhance system performance and scalability.
• Contribute to strategic initiatives by delivering actionable insights through data analysis.
• Stay informed on industry trends to implement cutting-edge solutions effectively.
• Promote a culture of collaboration and excellence within the engineering team.
• Ensure data integrity and compliance to support organizational objectives.
• Drive continuous improvement in data engineering practices and methodologies.

Key Responsibilities & Duties

• Design and implement scalable data pipelines to handle diverse datasets efficiently.
• Optimize data architecture to improve performance and cost-effectiveness.
• Develop and enforce governance policies to ensure high data quality standards.
• Collaborate with stakeholders to align data solutions with business objectives.
• Create dynamic dashboards to facilitate strategic decision-making processes.
• Integrate modern orchestration tools to streamline operational workflows.
• Ensure compliance with security and privacy standards in all data processes.
• Maintain detailed documentation for workflows and system architecture.

Job Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Minimum of 3 years of experience in data engineering roles; 5 years preferred.
• Proficiency in SQL development and database design principles.
• Experience with architecture optimization and performance tuning.
• Familiarity with orchestration tools like dbt and Workato.
• Understanding of data modeling concepts and handling financial data.
• Ability to create dashboards using visualization tools like Power BI.
• Strong problem-solving skills and ability to collaborate effectively.