Data Engineer

Overview

• Develop and optimize scalable data pipelines and systems to support analytics and operations.
• Utilize advanced tools like Snowflake, dbt, and Workato for efficient data processing.
• Collaborate with cross-functional teams to ensure data integrity and compliance.
• Design and implement optimized SQL queries for data analysis and retrieval.
• Create and maintain documentation for data workflows and processes.
• Stay updated on emerging data engineering technologies and practices.
• Develop dashboards using tools like Power BI to support decision-making.
• Contribute to problem-solving and foster collaboration within the team.

Key Responsibilities & Duties

• Design and implement efficient SQL pipelines for processing large-scale data.
• Optimize Snowflake architecture for enhanced performance and cost efficiency.
• Develop and enforce data governance policies and quality assurance processes.
• Collaborate with stakeholders to understand data requirements and deliver solutions.
• Maintain detailed documentation for data workflows and system architecture.
• Create visualizations and dashboards to support strategic decision-making.
• Integrate modern data orchestration tools into existing platforms for efficiency.
• Ensure compliance with data security and privacy standards across operations.

Job Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Minimum of 3 years of experience in data engineering or related roles.
• Proficiency in SQL development and database design principles.
• Experience with Snowflake architecture and performance optimization.
• Familiarity with data orchestration tools such as dbt and Workato.
• Understanding of data modeling concepts and handling financial data.
• Ability to create dashboards using Power BI or similar visualization tools.
• Strong problem-solving skills and the ability to build professional relationships.