Data Engineer

<h2>Requirements:</h2><ol>
<li>Experience: Proven experience as a Data Engineer or similar role with a focus on data pipelines, cloud infrastructure, and reporting.</li>
<li>Technical Skills: Strong understanding of data engineering concepts, tools, and technologies (e.g., SQL, Python, ETL tools, cloud platforms).</li>
<li>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).</li>
<li>Data Modeling: Proficiency in data modeling techniques (e.g., dimensional, normalized) and data warehouse design.</li>
<li>Reporting and Visualization: Expertise in using reporting and visualization tools (e.g., Looker, Power BI, Tableau) to create interactive dashboards.</li>
<li>Problem-Solving: Ability to troubleshoot complex data-related issues and find innovative solutions.</li>
<li>Communication: Excellent communication skills to collaborate effectively with cross-functional teams.</li>
<li>Certifications: Preferred certifications (e.g., AWS Certified Data Engineer, Azure Certified Data Engineer, GCP Certified Professional Data Engineer).</li>
</ol><h2>Requirements</h2><h2>Additional Skills (Preferred):</h2><ol>
<li>Experience with data warehousing and data lake technologies (e.g., Google BigQuery, Amazon Redshift, Snowflake, Databricks)</li>
<li>Knowledge of data analytics and machine learning concepts</li>
<li>Familiarity with data governance and compliance frameworks (e.g., HIPAA, GDPR, CCPA)</li>
</ol><h2>Benefits</h2><h2>Gov't mandated benefits</h2>