Data Engineer

Overview

• Develop and optimize scalable data systems to support analytics and operations using cutting-edge technologies and methodologies.
• Collaborate with cross-functional teams to ensure data integrity, compliance, and efficiency across all processes.
• Utilize advanced tools such as Snowflake, dbt, and Workato to streamline data workflows and enhance performance.
• Design and implement robust SQL queries and pipelines for effective data analysis and retrieval.
• Create and maintain comprehensive documentation for data systems and workflows to ensure transparency and scalability.
• Stay informed about emerging data engineering technologies and integrate them into existing systems.
• Develop insightful dashboards using tools like Power BI to support strategic decision-making processes.
• Contribute to problem-solving initiatives and foster a collaborative team environment.

Key Responsibilities & Duties

• Design and implement efficient data pipelines to process large-scale datasets effectively.
• Optimize Snowflake architecture for improved performance, scalability, and cost efficiency.
• Develop and enforce data governance policies to ensure quality and compliance.
• Collaborate with stakeholders to understand data requirements and deliver tailored solutions.
• Maintain detailed documentation of data workflows and system architecture for operational clarity.
• Create dynamic visualizations and dashboards to support organizational decision-making.
• Integrate modern data orchestration tools into existing platforms for enhanced efficiency.
• Ensure compliance with data security and privacy standards across all 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.