KEY RESPONSIBILITIES :
- Design, architect, and optimize Teradata EDW solutions with a focus on performance, scalability, and maintainability.
- Lead performance tuning efforts using TASM and other workload management tools.
- Design and implement data pipelines using AWS services such as S3, Glue, Lambda, and SageMaker.
- Manage Teradata AI Unlimited (Teradata On-Demand) deployments in AWS, ensuring secure and efficient cloud infrastructure.
- Integrate and optimize SAS workflows with EDW and other data sources.
- Develop and maintain Tableau dashboards for business insights and reporting.
- Create and optimize data workflows using Python and PySpark..
- Serve as a trusted advisor and mentor, offering technical guidance and fostering a collaborative team environment.
- Drive application design and optimization in AWS, ensuring alignment with enterprise architecture.
- Lead high-impact initiatives with accountability for quality, timelines, and stakeholder engagement.
- Communicate effectively across geographies and functions to build trust and alignment.
WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS) :
Bachelor of Science degree in Computer Science or equivalent3 to 6 years of hands-on experience in data engineering, data warehousing, and cloud-based analytics solutions.Teradata : Strong expertise in EDW design, performance tuning, and workload management (TASM).Proven expertise in Teradata performance tuning, TASM, and workload management.AWS : Practical experience with S3, Glue, Lambda, and cloud infrastructure management.Strong understanding of Teradata On-Demand in AWS environments.Experience with SAS scripting and integration with EDW systems.Proficiency in Python, PySpark, and data pipeline development.-Tableau : Skilled in building interactive dashboards and delivering business insights.Excellent communication and leadership skills, with a track record of mentoring and team collaboration.WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS) :
Python : Proficient in scripting, automation, and data processing.ETL : Deep understanding of ETL concepts, tools, and pipeline orchestration.SQL : Advanced SQL skills for data extraction, transformation, and optimization.Data Warehousing : Solid foundation in DWH concepts, architecture, and implementation.SAS : Experience in scripting and integrating SAS applications with EDW systems.ID : DELSS27