Job Summary
A company is looking for a Data Engineer to develop and implement a Data Lake House solution.
Key Responsibilities
- Design and manage a Data Lake House solution to optimize data storage and governance
- Integrate cloud-based platforms to enhance business and technology analytics
- Utilize various AWS services and frameworks to ensure scalability and continuous integration
Required Qualifications
- Experience with AWS services including Lake Formation, S3, Glue, and DynamoDB
- Proficiency in Python and Pyspark for data processing
- Familiarity with DevOps tools, specifically GitLab
- Knowledge of frameworks such as Serverless, CloudFormation, and Terraform
- Mid-senior level experience in consulting and information technology
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