Teradata Engineer

4 weeks ago

Atlanta, United States Matlen Silver Full time

Hybrid: Alternating Between 2-3 Days Onsite Each Week

Job Title: Teradata Engineer

Compensation: Up to $71/ Hour W2 Up To $80/Hour C2C


• In-depth knowledge of Teradata architecture and components (e.g., AMP, Nodes, Parsing Engines, etc.).

• Proficiency in Teradata SQL and Teradata utilities.

SQL and Scripting:

• Strong SQL skills for querying and managing relational databases.

• Scripting experience (e.g., Shell, Python) for automating tasks.

• Know tools like Teradata Utilities (e.g., BTEQ, FastLoad, MultiLoad, TPT, etc.).

ETL Tools:

• Experience with ETL tools and technologies used in Teradata environments.

Performance Optimization:

• Knowledge of query optimization techniques, indexing, partitioning, and workload management in Teradata.

Data Warehousing Concepts:

• Strong understanding of data warehousing principles, including star/snowflake schemas, OLAP, and ETL processes.

Cloud Platform / AWS Expertise:

• Proficiency with core AWS services: EC2, S3, RDS, Lambda, CloudWatch, CloudFormation, etc.

• Experience with AWS networking (VPC, subnets, security groups, NACLs) and security management.

• Familiarity with AWS storage options, such as S3, EFS, and Glacier, in the context of large-scale data storage and retrieval.

Teradata and AWS Integration:

• Experience deploying and managing Teradata in AWS cloud environments.

• Knowledge of AWS services that enhance Teradata performance, such as using S3 for staging data or integrating with Redshift for analytics.

Automation and Infrastructure as Code (IaC):

• 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.

Data Security in AWS:

• Understanding of encryption and security protocols for data stored and processed in AWS.

• Experience implementing compliance standards such as GDPR, HIPAA, or other data protection regulations in cloud environments.

Responsibilities:Key Responsibilities:


Database Management:

• Design, implement, and maintain Teradata databases.

• Optimize and tune queries for performance.

• Monitor and troubleshoot database issues.

ETL Development:

• Develop and maintain ETL (Extract, Transform, Load) processes for data integration and transformation.

• Use tools like Teradata Utilities (e.g., BTEQ, FastLoad, MultiLoad, TPT, etc.).

Data Modeling:

• Create and maintain data models to support business processes.

• Work with stakeholders to understand data requirements and design solutions.

Performance Tuning:

• Identify and resolve performance bottlenecks in SQL queries, system configuration, or data design.

• Regularly monitor and optimize system performance.

Data Security & Governance:

• Implement data security best practices.

• Ensure compliance with data governance policies and regulations.

Cloud Integration and Management:

• Implement and manage Teradata on AWS infrastructure, leveraging AWS services for scalability and performance.

• Manage data migration from on-premises Teradata environments to AWS cloud-based Teradata instances.

• Ensure seamless integration between Teradata and AWS services like S3, Redshift, RDS, and Lambda.

Cloud Infrastructure:

• Design and deploy cloud infrastructure (VPCs, EC2 instances, S3 buckets) to support Teradata environments.

• Implement networking and security best practices in AWS to ensure secure data access and storage.

Automation and DevOps:

• Automate infrastructure provisioning, scaling, and monitoring using AWS tools like CloudFormation, Terraform, or AWS CLI.

• Use AWS Lambda for automating ETL processes or handling specific workloads.

Data Warehousing and Analytics:

• Leverage AWS data services (e.g., Redshift, Athena, Glue) to complement Teradata workloads.

• Implement data pipelines using AWS services for ETL processes, integrating data from various sources into Teradata.

Security and Compliance:

• Implement AWS security best practices, such as IAM roles and policies, to secure Teradata environments in the cloud.

• Ensure compliance with relevant data governance policies, including encryption at rest and in transit.

Collaboration:

• Work closely with data architects, analysts, and other stakeholders to understand data needs and deliver solutions.

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