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Protocol Intelligence
Data-driven signals on your job's competitivenessMedium: recognizable multinational, mid-level generalist data role with common Azure/Databricks skills.
Medium: core data engineering transferable, but insurance domain and Azure expertise increase specificity.
Medium: requires specific Azure Synapse/Databricks, SQL/Python, MLOps, CI/CD and governance experience.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, test, and maintain scalable ETL/ELT data pipelines supporting analytics, machine learning models, and business applications.
Collaborate with cross-functional teams and internal customers to deliver production-ready, secure, and compliant data solutions.
Implement data security measures and participate in peer reviews to ensure robust, reusable, and well-governed data infrastructure.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
Proven experience as Analytics Engineer or Data Engineer with Azure Synapse or Databricks (Spark/PySpark, Delta Lake, Unity Catalog).
Strong SQL and Python skills; familiarity with Synapse Workflows, data modeling methods, version control (GitHub), and CI/CD pipelines.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experience engineering data pipelines specifically for machine learning model development, deployment, scoring, and monitoring.
Knowledge of data governance, security, compliance frameworks, and modern data architectures like medallion architecture and data lakehouse principles.
Ability to work collaboratively in agile settings and expertise in designing reusable, production-ready data pipelines and feature datasets.