Overview
5+ years of experience-
Proven experience with AWS services, including Glue, Lambda, Redshift, and DynamoDB.
Strong proficiency in PL/SQL for writing and optimizing complex queries.
Hands-on experience with GitHub Actions for CI/CD automation.
Solid understanding of DevOps principles, including infrastructure automation, monitoring, and security.
Experience with scripting languages (Python, Shell, etc.) for data processing and automation.
Knowledge of data lake and data warehouse concepts, and best practices in cloud environments.
Familiarity with AWS security services (IAM, KMS, CloudTrail) and compliance standards.
Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
Preferred Skills:
Experience with AWS services such as S3, Athena, and Step Functions.
Familiarity with containerization (Docker, Kubernetes) in a data engineering context.
Knowledge of data governance, cataloging, and lineage tracking tools.
Understanding of Agile and Scrum methodologies.