Salesforce is looking for Data Engineers to join their Admin and Trust team to build data products that empower large enterprise customers with critical workflow metrics. The role involves designing and implementing data models and scaling data pipelines to provide actionable insights and essential adoption and engagement metrics for key decision-makers within enterprise customer bases.
Requirements
- 5+ years of experience working in data architecture, data modeling, master data management, metadata management
- Recent accomplishments working with relational methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
- A consistent track record in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in OLAP and Data Warehouse environments
- Airflow or any workflow management platform for data engineering pipelines orchestration.
- Proficiency in coding through the use of with Python and SQL
- Familiar with data governance frameworks, SDLC, and Agile methodology
- Hands-on experience with Spark SQL, AWS (S3, EMR), Apache Pinot, Big Data & Hadoop.
Responsibilities
- Translate business requirements into scalable and reusable data models that are easy to understand and used by different subject areas
- Design, implement and build data models and pipelines that deliver data with measurable quality under the SLA
- Partner with product teams, data analysts and engineering teams to build foundational data sets that are trusted, well understood, and aligned with business strategy
- Be a champion of the overall strategy for data across multiple teams and different use cases
- Increase access to foundational company metrics through process and technical foundations
- Identify, document and promote data engineering standard methodologies throughout Slack
Other
- Excellent written and verbal communication and interpersonal skills, and ability to efficiently collaborate with technical and business partners
- Bachelor's degree in Computer Science, Engineering or a related field, equivalent training, fellowship, or work experience