Data Engineer - Tech Health-2
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Job CategorySoftware Engineering
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
The Data and Analytics Organization (DnA) is Salesforce's cornerstone for fostering growth and margins through unparalleled data insights. From robust governance to strategic execution, we support data pioneers with an unbiased approach. Our Enterprise Data Strategy builds a solid data foundation, fostering a culture of data-driven decisions. We ensure end-to-end quality through a cohesive data supply chain. By deploying and integration platform tools, we enable seamless data access and automated data management driving efficiency and growth with actionable insights. As a steadfast partner, we shape a data ecosystem that fuels innovation. Our commitment to integrity and accessibility propels informed decision-making, propelling Salesforce to new heights of excellence.
Interesting Articles about some of our work and our culture:
Technical Scoring and Analytics Team
The Technical Scoring and Analytics Team improves our customers' Salesforce experience by empowering builders with data so they can optimize and improve Salesforce products' technical performance. Our scope includes the Technical Health Score (part of Customer Success Scorecard) and monitoring/optimizing for the experienced page load time for our customers' Salesforce pages. As one of the engineers on the team, you would be responsible for maintaining and growing the underlying data that feeds our scores and analytical frameworks.
Success in the Role: What would it look like?
You've effectively collaborated with cross-functional teams, absorbing their data needs and requirements, and successfully delivering on your assigned initiatives. You've showcased ownership of the initiatives assigned, supporting senior members in building and maintaining data pipelines while consistently ensuring data quality and performance. You've demonstrated a keen desire to grow, actively deepening your understanding of data collection, storage, and management strategies. You've actively contributed to data analysis projects, deriving actionable insights from data trends to improve decision-making processes. You’re comfortable taking business requirements and turning them into data products Bonus points: you’ve worked on composite score projects before
Skills for Success: What you bring to the role
- Proficiency in SQL and familiarity with Python, Java, or Scala.
- Understanding of basic data modeling and ETL/ELT processes.
- Exposure to big data frameworks like Spark, Hadoop, or Kafka.
- Strong problem-solving skills with an emphasis on data quality and management.
- Knowledge of version control systems and CI/CD practices.
- Eagerness to learn, adapt, and contribute to best practices.
- Effective communication skills for both technical and non-technical stakeholders.
- B.S/M.S. in Computer Sciences or equivalent field.
- 2-5 years of demonstrated experience in data engineering.
- Knowledge of Salesforce products or related CRM systems.
- Experience working with cloud platforms such as AWS, GCP, or any other prominent cloud provider.
- Experience with advanced debugging techniques and performance tuning.
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