Data Engineer

• Cloud Platforms: Experience with major cloud platforms (e.g., AWS, Azure, GCP) and their data-related services (e.g., data warehouses such as BigQuery/Redshift, data lakes, data pipelines).
• Data Modeling: Proficiency in data modeling techniques (e.g., dimensional, normalized) and data warehouse design.
• Reporting and Visualization: Expertise in using reporting and visualization tools (e.g., Looker, Power BI, Tableau) to create interactive dashboards.
• Problem-Solving: Ability to troubleshoot complex data-related issues and find innovative solutions.
• Communication: Excellent communication skills to collaborate effectively with cross-functional teams.
• Certifications: Preferred certifications (e.g., AWS Certified Data Engineer, Azure Certified Data Engineer, GCP Certified Professional Data Engineer).

Additional Skills (Preferred)

• 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)

Gov't mandated benefits