Data Engineer

Overview

• Drive impactful data engineering projects in a collaborative and innovative environment.
• Develop scalable solutions to support analytics and operational needs.
• Leverage cutting-edge technologies to enhance data workflows and efficiency.
• Contribute to strategic decision-making through insightful data visualizations.
• Work closely with cross-functional teams to deliver tailored solutions.
• Stay ahead of industry trends to continuously improve systems and processes.
• Foster a culture of collaboration and innovation within the team.

Key Responsibilities & Duties

• Design and implement efficient data pipelines for large-scale datasets.
• Optimize data architecture for performance, scalability, and cost efficiency.
• Develop governance policies to ensure data quality and compliance.
• Collaborate with stakeholders to understand and address business requirements.
• Maintain comprehensive documentation for workflows and system architecture.
• Create dynamic dashboards to support organizational decision-making.
• Integrate modern orchestration tools to improve operational efficiency.
• Ensure adherence to security and privacy standards across all operations.

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.