Description: Our client is currently seeking a Cloud Data Engineer
Position Overview
We are seeking a skilled and experienced Cloud Data Engineer to join our team for a Cloud Data Modernization project. The successful candidate will be responsible for building de-identified and masked healthcare data sets and developing a Cloud Data Platform using Azure Cloud, Databricks, and Snowflake.
Key Responsibilities
Design, develop, and implement data platform solutions using Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage Gen2 (ADLS Gen2), Blob Storage, Databricks, and Snowflake.
Develop and maintain cloud-native ETLs and data pipelines using modern technologies on Azure Cloud, Databricks, and Snowflake.
Implement DevOps practices and CI/CD pipelines using GitActions.
Collaborate with cross-functional teams to ensure seamless integration and data flow.
Optimize and troubleshoot data pipelines and workflows.
Ensure data security and compliance with industry standards.
Required Qualifications
Minimum of 3+ years of experience as a Cloud Data Engineer.
Hands-on experience with Azure Cloud data tools (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage), Databricks, and Snowflake.
Strong experience in developing cloud-native ETLs and data pipelines using modern technologies on Azure Cloud, Databricks, and Snowflake.
Proficiency in DevOps and CI/CD practices using GitActions.
Prior hands-on experience with data de-identification and data masking.
Excellent problem-solving skills and ability to work independently.
Strong communication and collaboration skills.
Preferred Qualifications
Experience with data modeling and database design.
Knowledge of data governance and data quality best practices.
Familiarity with other cloud platforms (e.g., AWS, Google Cloud).
Experience with Python or other scripting languages for data processing.
Understanding of containerization technologies (e.g., Docker, Kubernetes).
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Contact: tbousson@judge.com
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