Data Engineer

Responsibilities:

• Navigate the landscape of unstructured and semi-structured data, developing solutions to streamline complexity.
• Craft data pipelines, APIs, and back-end services using the magic of Python.
• Harness the power of containerization with Docker and Kubernetes for seamless application deployment.
• Utilize AWS technologies like EC2, S3, Lambda, API Gateway, Load Balancers, and Auto Scaling to process and expose data.
• Build data ingestion tools using Python to extract valuable insights from various sources.
• Apply expertise in Snowflake or other MPP and columnar databases on the Cloud.
• Implement CI/CD release automation and deployment using tools like Jenkins, Concourse, and CloudFormation.
• Optional: Dabble in Angular, Java, and reporting tools like Power BI for an added layer of versatility.

Key Skills:

• Data Warehousing. 
• Data Architecture. 
• Coding. 
• Operating System. 
• Apache Hadoop-Based Analytics. 
• Machine Learning.

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