Caliber — The calm career OS for engineers

About the Role

Help design, build and continuously improve the clients online platform.
Research, suggest and implement new technology solutions following best practices/standards.
Take responsibility for the resiliency and availability of different products.
Be a productive member of the team.

Requirements

Design, develop, and maintain data pipelines using Azure Data Factory and Azure Databricks.
Build and optimize scalable data processing solutions using PySpark and Databricks.
Develop ETL/ELT solutions using Python for data extraction, transformation, and loading.
Implement and manage CI/CD pipelines using Azure DevOps.
Collaborate with cross-functional teams to gather data requirements and deliver scalable data solutions.
Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.
Ensure data security, governance, and compliance with organizational standards.
Stay current with Azure cloud services and data engineering best practices.
Strong experience with Azure Data Factory (ADF).
Hands-on experience with Azure Databricks and PySpark.
Strong programming skills in Python.
Experience with Azure DevOps and CI/CD pipelines.
Good knowledge of SQL and data transformation techniques.
Strong analytical, problem-solving, and debugging skills.
Excellent communication and documentation skills.

Benefits

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