Aws Data Engineer
2 weeks ago
We are looking for a highly skilled and motivated AWS Data Engineer who thrives on solving complex problems, building scalable systems, and driving innovation.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL workflows using AWS services.
- Build and automate data processing, transformation, and integration solutions using Python.
- Optimize and manage SQL queries, stored procedures, and database performance across multiple environments.
- Implement cloud security, cost optimization, and performance tuning best practices within AWS infrastructure.
- Collaborate closely with business analysts, data scientists, and application teams to deliver high-quality data solutions.
- Monitor, troubleshoot, and enhance the reliability and performance of data workflows and cloud systems.
- Maintain comprehensive documentation of architecture, workflows, and data processes for knowledge sharing and scalability.
Required Skills & Qualifications:
- Strong hands-on experience with AWS services such as EC2, S3, RDS, Redshift, Glue, Lambda, IAM, and CloudWatch.
- Proficiency in Python for automation, data transformation, and workflow orchestration.
- Advanced knowledge of SQL for complex query writing, performance tuning, and data modeling.
- Experience with data lake and data warehouse architectures.
- Familiarity with CI/CD pipelines, version control (Git), and infrastructure-as-code tools (CloudFormation/Terraform) is a plus.
- AWS certification in Solutions Architect, Data Analytics, or Data Engineer track is preferred.
- Strong problem-solving mindset with a passion for innovation and continuous learning.
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