Senior Data Engineer

Database Management, ETL Development, have used tools like Teradata Utilities (e.g., BTEQ, FastLoad, MultiLoad, TPT, etc.),
In-depth knowledge of Teradata architecture and components (e.g., AMP, Nodes, Parsing Engines, etc.).
Scripting experience (e.g., Shell, Python) for automating tasks.
Knowledge of query optimization techniques, indexing, partitioning, and workload management in Teradata.
Proficiency with core AWS services: EC2, S3, RDS, Lambda, CloudWatch, CloudFormation, etc.
Familiarity with AWS storage options, such as S3, EFS, and Glacier, in the context of large-scale data storage and retrieval.
Hands-on experience with AWS CloudFormation, Terraform, or similar tools for automating infrastructure deployment.
Proficiency in automating ETL pipelines and data processing workflows using AWS Lambda, Step Functions, or AWS Glue.