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Data Warehousing Specialist
2 months ago
We are seeking a skilled Teradata Developer to contribute to the success of our company.
Key Responsibilities:- Design, develop, and implement efficient Teradata solutions for data warehousing and business intelligence, ensuring data accuracy and integrity.
- Develop and maintain complex SQL queries and stored procedures to optimize database performance, adhering to industry best practices.
- Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions, leveraging data analytics and insights.
- Stay up-to-date with the latest Teradata technologies and best practices to ensure our solutions are scalable, secure, and compliant with data protection regulations.
- Develop and maintain ETL processes using Teradata utilities and AWS services, ensuring data consistency and reliability.
- Design and implement data warehousing solutions using star/snowflake schemas and OLAP techniques, optimizing data retrieval and analysis.
- Develop and maintain automation scripts using Shell and Python to streamline tasks, improve efficiency, and reduce manual errors.
- Collaborate with the DevOps team to deploy and manage Teradata in AWS cloud environments, ensuring seamless integration and scalability.
- Develop and maintain data processing workflows using AWS Lambda, Step Functions, and AWS Glue, ensuring data processing efficiency and reliability.
- Ensure compliance with data protection regulations such as GDPR and HIPAA, maintaining the highest standards of data security and confidentiality.
- Strong understanding of Teradata architecture and components, including data modeling and data warehousing principles.
- Proficiency in Teradata SQL and Teradata utilities, with experience in query optimization techniques, indexing, partitioning, and workload management.
- Experience with ETL tools and technologies used in Teradata environments, including data integration and data transformation.
- Knowledge of data processing and analytics, including data visualization and reporting.
- Experience with AWS services such as EC2, S3, RDS, Lambda, CloudWatch, and CloudFormation, with a strong understanding of cloud computing and scalability.
- Experience with data warehousing principles and best practices, including data governance and data quality.
- Strong understanding of data security and compliance, including data protection regulations and industry standards.