Our client is seeking a highly skilled and experienced Technical Delivery Lead to join their team for a Cloud Data Modernization project.
Key Responsibilities:
Lead the creation of de-identified and masked healthcare data sets.
Oversee the design, development, and implementation of 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.
Manage and guide the development of cloud-native ETLs and data pipelines using modern technologies on Azure Cloud, Databricks, and Snowflake.
Implement and oversee 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.
Provide technical leadership and mentorship to the engineering team.
Required Qualifications:
Minimum of 8+ years of experience in a Cloud Data Engineering role, with at least 3 years in a leadership or technical delivery role.
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).
Certification in Azure or Snowflake.
Past experience working with de-identification and data masking tools (Protegrity, Informatica Data Masking).
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Contact: kgregor@judge.com
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