Data Engineer

This Data Engineer position requires someone with experience in building and maintaining data pipelines, cloud infrastructure, and reporting. The role involves strong data engineering skills, cloud platform expertise, and proficiency in data modeling, visualization, and problem-solving. Collaboration with cross-functional teams is also essential.

Requirements

• Proven experience as a Data Engineer or similar role with a focus on data pipelines, cloud infrastructure, and reporting.
• Strong understanding of data engineering concepts, tools, and technologies (e.g., SQL, Python, ETL tools, cloud platforms).
• Experience with major cloud platforms (e.g., AWS, Azure, GCP) and their data-related services.
• Proficiency in data modeling techniques (e.g., dimensional, normalized) and data warehouse design.
• Expertise in using reporting and visualization tools (e.g., Looker, Power BI, Tableau) to create interactive dashboards.
• Ability to troubleshoot complex data-related issues and find innovative solutions.
• Excellent communication skills to collaborate effectively with cross-functional teams.
• Preferred certifications (e.g., AWS Certified Data Engineer, Azure Certified Data Engineer, GCP Certified Professional Data Engineer).
• Experience with data warehousing and data lake technologies (e.g., Google BigQuery, Amazon Redshift, Snowflake, Databricks), knowledge of data analytics and machine learning concepts, familiarity with data governance and compliance frameworks (e.g., HIPAA, GDPR, CCPA).

Benefits

• Gov't mandated benefits