Salesforce · salesforce.wd12.myworkdayjobs.com · checked today
Data Engineering Senior Associate
Skills, with evidence
- Airflow / orchestration
Experience with Apache Airflow workflow development, scheduling, and monitoring.
must have - Data quality
Perform data validation, source-to-target reconciliation, completeness checks, and failed-job recovery to ensure reliable data delivery.
must have - Python
Hands-on experience with Python and Snowflake.
must have - SQL
Strong SQL development, data analysis, and production troubleshooting skills.
must have - Warehousing
Knowledge of data warehouse concepts, including fact and dimension tables, star and snowflake schemas, conformed dimensions, and Slowly Changing Dimensions.
must have - Failure handling
Design, maintain, and monitor Apache Airflow DAGs for scheduling, workflow orchestration, dependency management, retries, and failure recovery.
- Data modelling
Knowledge of data warehouse concepts, including fact and dimension tables, star and snowflake schemas, conformed dimensions, and Slowly Changing Dimensions.
- Incremental loads
Familiarity with Salesforce data models and tools such as Bulk API, REST API, Platform Events, or Change Data Capture.
- Dashboards & BI
Tableau reporting and dashboard-development experience.
not practised here
Your plan
- SQL
drills at the Senior level
- Python
drills at the Senior level
- Modelling
drills at the Senior level
- Pipelines
drills at the Senior level
The full plan, drill by drill, is on the job page.
leaves in 13 dremoved the moment Salesforce closes it