Senior Data Engineer

Required Skills & Experience:

• Database Management, ETL Development, have used tools like Teradata Utilities (e.g., BTEQ, FastLoad, MultiLoad, TPT, etc.), Data Modeling, DB Performance Tuning, Data Security & Governance, Cloud Integration and Management, Cloud Infrastructure, Automation and DevOps, Data Warehousing and Analytics, Security and Compliance
• In-depth knowledge of Teradata architecture and components (e.g., AMP, Nodes, Parsing Engines, etc.).
• Proficiency in Teradata SQL and Teradata utilities.
• Strong SQL skills for querying and managing relational databases.
• Scripting experience (e.g., Shell, Python) for automating tasks.
• 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.
• Knowledge of query optimization techniques, indexing, partitioning, and workload management in Teradata.
• Knowledge of AWS services that enhance Teradata performance, such as using S3 for staging data or integrating with Redshift for analytics.
• 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.

Required Skills & Experience:

• Database Management, ETL Development, have used tools like Teradata Utilities (e.g., BTEQ, FastLoad, MultiLoad, TPT, etc.), Data Modeling, DB Performance Tuning, Data Security & Governance, Cloud Integration and Management, Cloud Infrastructure, Automation and DevOps, Data Warehousing and Analytics, Security and Compliance
• In-depth knowledge of Teradata architecture and components (e.g., AMP, Nodes, Parsing Engines, etc.).
• Proficiency in Teradata SQL and Teradata utilities.
• Strong SQL skills for querying and managing relational databases.
• 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.