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Role: Teradata Solution Lead. Location: Seattle, WA / St. Louis, MO / Plano, TX / Dallas, TX / Houston, TX (Day 1 onsite). FTE only.
Job Responsibility:
Lead and optimize Database jobs for performance by collaborating with DBAs and implementing SQL coding and design changes within the job structure
Lead and actively participate in troubleshooting and resolving issues related to data loading delays and database server outages, ensuring minimal disruption to data flow and system operations
Provide technical leadership and guidance to team members, fostering a collaborative and supportive team culture
Lead the planning, solution design and implementation, ensuring alignment with program objectives and timeline
Engage in periodic reviews of job logs and performance metrics to identify trends, proactively addressing potential issues
Troubleshooting production issues through meticulous job log reviews, implementing necessary design changes via change management and adhering to the code promotion process
Contributed to the development and maintenance of documentation for troubleshooting procedures, best practices, and system configurations, facilitating knowledge sharing within the team and managing Change Requests
Resolving data issues arising from load delays or database server downtimes, with a focus on ensuring customer satisfaction
Collaborate with stakeholders to understand business requirements, providing valuable insights and recommendations for optimizing data processing workflows
Requirements:
Design Scalable Data Warehousing Solutions using Teradata
Develop and maintain normalized (3NF) and dimensional models
Optimize physical models and fine tune queries for performance
Design and develop Tera Data ETL jobs and data pipeline
Design, Develop and support enterprise data warehouse solutions leveraging Teradata and Teradata tools and utilities
Extracting data from various data sources, transforming, and loading it into target systems
Ensuring data quality, integrity, and consistency across different systems
Developing and maintaining data warehouses, data lakes and data mart architecture
Optimizing ETL processes for performance, scalability and reliability