Description

Requirements

8+ years of experience in data engineering with a focus on AWS cloud solutions
3+ years of experience in Designing, developing, and maintaining scalable and secure ETL/ELT pipelines using AWS services
Creating and optimizing complex data processing and data transformation pipelines using python
Hands-on experience with AWS services like Glue, Lambda, S3, Redshift, and Athena
Strong knowledge of SQL for querying and managing relational databases
Experience with big data tools such as Apache Spark, Hadoop, or EMR
Implement best practices for cloud-based data architecture and pipeline management
Understanding of data modeling concepts and best practices
Familiarity with CI/CD pipelines and version control tools like Git
AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect)
 

Key Skills
Education

Any Gradute

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