AWS Data Engineer
3 weeks ago
We are seeking an experienced Senior AWS Data Engineer to lead our data infrastructure team. The ideal candidate will have a strong background in designing, building, and maintaining scalable data pipelines and solutions on AWS. You will work closely with data scientists, analysts, and cross-functional teams to optimize and manage our data infrastructure. This role requires a deep understanding of AWS services, data engineering best practices, and cloud architecture.
Key Responsibilities:
- Design, develop, and maintain robust ETL pipelines on AWS using services like Glue, Lambda, and EMR.
- Build scalable and efficient data storage solutions using S3, Redshift, and RDS.
- Collaborate with data teams to optimize and maintain data architecture and performance.
- Implement data security and governance standards.
- Troubleshoot and resolve data-related issues and performance bottlenecks.
- Monitor, optimize, and maintain AWS cost management and resource utilization.
Qualifications:
- 5+ years of experience in data engineering, with at least 3 years working on AWS.
- Strong expertise in AWS services: Glue, Lambda, EMR, S3, Redshift, RDS, and IAM.
- Proficient in SQL, Python, and data modeling concepts.
- Experience with data warehousing, ETL processes, and large-scale data architectures.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- AWS certification (preferred).
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