Not specified (assumed hybrid based on industry trends)
Etl/elt pipelines using apache airflow
Python for data engineering
Advanced sql and data modeling
Salesforce is seeking a Senior Data Engineer to join their Employee Success team, focusing on building robust data pipelines and frameworks to enhance AI-driven data capabilities. The ideal candidate should have extensive experience in data engineering, particularly with Snowflake and Apache Airflow, as well as strong collaboration and communication skills
Job Summary
Salesforce is seeking a Senior Data Engineer to build and harden data foundations for AI-driven data initiatives within the Employee Success Product Management team.
Key responsibilities include engineering end-to-end data pipelines, developing data models in Snowflake and Data360, and managing CI/CD lifecycles.
The role requires strong collaboration with HR business partners to translate functional needs into scalable technical solutions and offers opportunities to redefine what's possible with AI.
Matching Summary
Match Score: 85
Salesforce is seeking a Senior Data Engineer to join their Employee Success team, focusing on building robust data pipelines and frameworks to enhance AI-driven data capabilities. The ideal candidate should have extensive experience in data engineering, particularly with Snowflake and Apache Airflow, as well as strong collaboration and communication skills.
Skills & Requirements
Must-have
ETL/ELT pipelines using Apache Airflow
Python for data engineering
Advanced SQL and data modeling
Snowflake data warehousing
CI/CD pipeline management
Git version control
Nice-to-have
AI/ML integration experience
Salesforce Data360 expertise
Neo4j graph database management
People Analytics domain expertise
Tableau performance optimization
Key Requirements
6+ years of relevant work experience
Proven expertise in end-to-end data engineering
Proficiency with SQL, Python, Bash, Informatica, dbt