P2-C3-STS
Environment Management/Infrastructure/Scheduling
Should possess 5 years of experience in infrastructure support, job scheduling.
The role involves managing batch jobs, automating workflows, and ensuring efficient data pipeline operations.
Hands on experience with Kyvos scheduler, including
Setting up and maintaining Kyvos schedules.
Triggering Kyvos cubes post ETL/DWH load events.
Integrating Kyvos with external tools (Airflow, Autosys, shell scripts).
Proficiency in Apache Airflow:
Authoring DAGs in Python.
Managing task dependencies, retries, and SLA monitoring.
Expertise in Autosys job scheduling
Job creation, maintenance, and troubleshooting.
Managing complex job chains and calendar-based triggers. Strong knowledge of data warehouse concepts and ETL workflow dependencies.
Scripting skills Shell, Python, Bash) for automation and integration.
Excellent analytical and troubleshooting skills in a production support environment.
AWS CDK with Type Script, Cloud formation template.
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