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) :
3 - 6 yrs of professional experience.
Hands-on experience in Teradata performance tuning, Teradata On-Demand and Teradata AI.
Experience with SAS programming and integration with EDW (Enterprise Data warehouse) systems.
Refactor SAS logic to use Teradata-native functions and avoid incompatible SAS functions.
Automate SAS workflows and integrate with alerting systems.
Profile SAS jobs for performance and resource metrics
Enable SQL pushdown to Teradata using pass-through queries and LIBNAME engine.
Solid foundation in DWH concepts, architecture, and implementation.
AWS : Practical experience with S3, Glue, Lambda, and cloud infrastructure management.
We can also look at GCP or Azure as well as an alternative to AWS.
PySpark is not mandatory, rather a good to have skill
ID : DELSS28
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Senior Data Engineer • Bengaluru, India
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