Title : Data Engineer Location : 100% Remote Duration : 12 Months Key skills : Expertise in Python, snowflake and AWS Responsibilities : Build and Manage Data Pipelines : Create and maintain data pipelines to move and transform data using Python and pandas.
Cloud Services : Use AWS tools like S3 for storage, CloudFormation for setup, CloudWatch for monitoring, API Gateway for APIs, and Kinesis Streams for real-time data.
Work with Snowflake : Manage and optimize data in Snowflake, ensuring efficient storage and access. Write SQL Queries : Use SQL to pull, update, and analyze data.
Version Control and Deployment : Use GitHub for tracking changes and Azure DevOps for automating deployments. Monitor Systems : Track and address issues with data systems using AWS CloudWatch and other tools.
Collaborate and Document : Work with other teams to understand data needs and document processes. Ensure Data Quality : Implement practices to keep data accurate and secure.
Required Skills : Python : Experience with Python and pandas for data tasks. AWS : Familiarity with AWS services like S3, CloudFormation, CloudWatch, API Gateway, and Kinesis Streams.
Snowflake : Experience with Snowflake for managing data. SQL and NoSQL : Ability to write and optimize Both SQL / NoSQL queries.
Azure DevOps : Use Azure DevOps for continuous integration and deployment. GitHub : Manage code versions and collaborate using GitHub.
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