Data Integration & Quality : Collaborate with the Data Engineering Team to ingest data from various systems ensuring timely integration of new data sources with high reliability and correctness.
(Design) simplification : Simplify the existing data flows and design processes to enhance efficiency, reduce complexity, and improve overall system performance.
Cleanup : Identify obsolete datasets, unused files and abandoned workflows; refactor or retire them and help harmonize historization and retention rules so the overall data landscape remains clean and maintainable.
Macro & Component Design : Design and maintain reusable Alteryx macros to centralize repeated transformation patterns, ensure consistent logic across workflows and reduce technical debt, while documenting and validating changes with impacted users.
Legacy process harmonization : Rationalize SAS and Alteryx coexistence by removing outdated SAS components and migration useful transformations into consistent maintainable Alteryx logic. Help eliminate duplication and reduce the cross-platform complexity.
Release operations : Support and improve the deployment and release process by increasing automation coverage and quality checks making deployments safter, faster and more predictable.
Documentation : Apply and reinforce documentation standards for datasets and workflows, ensuring consistent naming and clear descriptions for a shared understanding, easy discovery and effective usage by every squad member.
Monitoring : Establish and maintain robust monitoring systems to track data quality, performance, enabling timely identification and resolution of issues.
Manage multi-instance : Oversee the management of daily batches to ensure consistency, synchronization, and efficient resource utilization across different environments.
Strong analytical skills with ability to extrapolate from a detailed technical view to a global vision
Knowledge sharing abilities
Proactive in communication and active listening
