Data Engineer

Overview

• Lead the development of robust data engineering solutions in a dynamic environment.
• Collaborate with cross-functional teams to optimize data workflows and analytics.
• Utilize cutting-edge technologies to enhance system performance and scalability.
• Contribute to strategic initiatives through impactful data visualizations and insights.
• Stay updated on industry trends to implement innovative solutions.
• Foster a culture of excellence and collaboration within the engineering team.
• Support organizational goals by ensuring data integrity and compliance.
• Drive continuous improvement in data engineering practices and methodologies.

Key Responsibilities & Duties

• Design and implement scalable data pipelines for diverse datasets.
• Optimize data architecture to enhance performance and cost efficiency.
• Develop and enforce governance policies to maintain data quality.
• Collaborate with stakeholders to align data solutions with business needs.
• Create dynamic dashboards to support strategic decision-making.
• Integrate modern orchestration tools to streamline operations.
• Ensure compliance with security and privacy standards in all processes.
• Maintain detailed documentation for workflows and system architecture.

Job Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Minimum of 3 years of experience in data engineering roles.
• 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.