Description

You will manage data pipelines and warehousing operations within Teradata and AWS environments.

Responsibilities

• Optimize Teradata queries using indexing, partitioning, and workload management techniques.
• Automate data tasks and workflows using Python and Shell scripting.
• Manage large-scale data storage and retrieval using AWS S3, EFS, and Glacier.
• Implement and maintain ETL processes within Teradata and AWS ecosystems.
• Configure AWS networking components including VPC, subnets, security groups, and NACLs.

Required Skills

• 5+ years of experience in data engineering roles.
• In-depth knowledge of Teradata architecture, including AMP, Nodes, and Parsing Engines.
• Proficiency in Teradata SQL and utilities such as BTEQ, FastLoad, MultiLoad, and TPT.
• Strong SQL skills for managing relational databases.
• Experience with Python and Shell scripting for automation.
• Hands-on experience with AWS services: EC2, S3, RDS, Lambda, CloudWatch, and CloudFormation.
• Solid understanding of data warehousing principles, including star/snowflake schemas and OLAP.
• Bachelor's degree in a relevant field.

Key Skills

Education

Bachelor's degree