Data Engineer (Integration, Support, and Administration) #3392912

Be Part of a Dynamic Team

This opportunity is with a technology-forward team driving the development of scalable, cloud-based data solutions. Known for its inclusive, learning-focused environment, the team supports key business units by building robust data pipelines, supporting ERP integrations, and enhancing analytics capabilities.

The role sits within a collaborative, fast-moving group that partners with engineering, business analysts, and IT stakeholders to translate real-world business needs into technical solutions. The environment is ideal for early-career professionals ready to grow their expertise in AWS, Snowflake, SQL, and modern integration tools like dbt and Power Automate.

What's In Store For You

• Opportunity to work with cloud-based technologies like AWS, Snowflake, and modern integration tools.
• Hands-on experience with large-scale data infrastructure, analytics, and integration projects.
• A role that encourages professional growth, continuous learning, and exposure to diverse technology stacks.
• Collaboration with global teams on impactful projects that shape business operations worldwide.

How You Will Make An Impact

• Manage daily operations for Snowflake and AWS infrastructure, including account creation, job monitoring, and data modeling.
• Maintain reliability, uptime, and backup integrity of software tools.
• Write, test, and optimize SQL queries across cloud-based data platforms.
• Migrate datasets between database platforms.
• Develop and support integrations for Microsoft Dynamics 365 Finance & Supply Chain Management (FSCM).
• Provide timely ad-hoc data extracts to answer business questions.
• Partner with project managers, architects, analysts, and developers to deliver on objectives.
• Diagnose and resolve data quality and performance issues.
• Create and maintain technical documentation for deployments and ongoing maintenance.
• Participate in Architecture Review Board meetings, offering feedback and recommendations.
• Deliver accurate time estimates for integration and development work.

Are You a Future Data Engineering Rock Star?

• 1-2 years of advanced SQL query experience, ideally in Snowflake or another cloud data warehouse.
• Exposure to cloud platforms such as AWS and/or data tools like Snowflake or dbt.
• Comfortable working with scripting or programming languages like Python, Java, or Groovy.
• Understanding of data modeling (e.g., star schema) and data integration best practices.
• Familiarity with DevOps practices, basic production support, and job scheduling.
• Familiarity with API/web services integration (REST, SOAP, bulk data exchange).
• Awareness of distributed data architectures and processing frameworks.
• Strong problem-solving and communication skills.
• Self-driven, curious, and committed to continuous learning and career development.
• Bachelor's degree in Computer Science, IT, Data Science, or a related field preferred.

#Dice