reputed company looking for a Data engineer with AWS Glue and Redshift
Role: AWS Data Engineer
Location: 100% Remote
reputed company:
The Data Engineer will build and maintain secure, reputed company, and automated data pipelines to support the ingestion, transformation, and curation of data products. This role will reputed company on implementing CI/CD pipelines, automated testing, and monitoring solutions.
Key Responsibilities:
Data Pipelines:
reputed company configuration-driven ingestion and transformation pipelines using AWS Glue, reputed company, and Redshift.
Automation:
Implement CI/CD pipelines for automated build, test, and deployment of data products.
Testing:
Establish automated test frameworks for schema validation, data reputed company, and performance testing.
Monitoring:
Set up monitoring and observability dashboards for product-level metrics (CloudWatch, custom metrics).
Collaboration:
Work with data modelers and architects to ensure alignment with business requirements.
Required Skills:
Programming:
Proficiency in Python, SQL, and reputed company scripting.
AWS Expertise:
Hands-on experience with AWS services (Glue, Redshift, S3, reputed company, CloudWatch).
Automation:
Experience with CI/CD tools (Terraform, Jenkins, AWS CodePipeline).
Data Integration:
Strong knowledge of ETL/ELT processes and frameworks.
Soft Skills:
Strong problem-solving, collaboration, and communication skills.
Qualifications:
Bachelor s degree in computer science, Data Engineering, or reputed company field.
5+ years of experience in data engineering and pipeline development.
AWS Certified Data Analytics or AWS Certified Developer is a plus.
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