Data Engineer

1. Analytics Development

• You will Collaborate with diverse partners to gather needs and produce compliant, sustainable analytics products. This includes Building insightful visualizations through tools like Sigma or Domo.
• By Developing consumption layers with Snowflake, dbt, Python, and SQL, you will provide the robust data structures necessary for sophisticated business reporting.
• You will ensure all data progression remains high-quality by Following the established medallion architecture framework.
• You will Leverage our core technology stack to deploy pipelines that align with enterprise-wide best practices and standards.

2. Process Optimization and Innovation

• Focus on Optimizing internal workflows by automating repetitive tasks and streamlining how analytics are delivered to the organization.
• You will be responsible for Evaluating modern and emerging technologies to keep our analytics engineering capabilities at the cutting edge.

3. Collaboration and Support

• You will Translate high-level business data strategies into actionable analytics execution through consistent stakeholder engagement.
• Support daily operations by Assisting with technical hurdles related to data access and reporting needs.
• By Cultivating strong relationships across technical and business units, you will work toward shared organizational objectives.

4. Governance and Standards

• Maintain high technical bars by Reviewing peer code and enforcing engineering best practices across all projects.
• You will Uphold rigorous compliance with all enterprise policies and data governance standards.
• Ensure long-term sustainability by Documenting and maintaining critical components within the data ecosystem.

Job Requirements :

• Education: Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related field.
• Experience: At least 2 years of professional experience as an Analytics Engineer, Data Engineer or related role.
• Business Collaboration: At least 2 years of experience in collaborating with business teams, understanding requirements, and translating them into analytics solutions.