Data Engineer

Key Responsibilities:

• Design, develop, and maintain data pipelines for ingestion, transformation, and loading of complex datasets.
• Implement ETL workflows for structured and unstructured data, including time-series data.
• Perform root-cause analysis for failures in production jobs and ensure optimal system performance.
• Collaborate with development teams and product owners to ensure data requirements are met.
• Hands-on coding in Python; experience with .NET or Kafka is a plus.
• Work with Docker, Kubernetes, and CI/CD pipelines to ensure scalable deployment.
• Monitor, troubleshoot, and optimize data systems for performance and reliability.