About the role
Requirements:
- Experience: Proven experience as a Data Engineer or similar role with a focus on data pipelines, cloud infrastructure, and reporting. - Technical Skills: Strong understanding of data engineering concepts, tools, and technologies (e.g., SQL, Python, ETL tools, cloud platforms). - 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).
Requirements
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)
Benefits
Gov't mandated benefits
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