Data Integration Engineer - Slack

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

As an Integrations Engineer, you will be working multi-functionally with business domain experts for Sales and Marketing to solutions for integrations to 3rd party systems. We champion operational excellence by building high quality integrations, and testing and monitoring applications that help ensure we deliver a first-in-class system. Our work serves a vital role at Salesforce and influences teams across the company, including Marketing, Sales, Finance, and HR. Salesforce has a positive, diverse and encouraging culture. If this sounds like a fit for you, send us a note. We’d love to learn more about you.

Responsibilities:

• Collaborate with cross-functional teams to capture requirements
• Configure, build, test, and deploy integrations solutions
• Collaborate with peers to write, review and provide feedback on technical design proposals and participate in and contribute to code reviews.
• Write scalable tests, release plans and end user documentation to support our fast-growing organization
• Resolve (diagnose, track, and manage) integration issues requiring in depth expertise in the Workday solution
• Deliver techincal improvements, bug fixes, data setup, define test regression and acceptance criteria
• Closely work with internal support team and business users to understand the business requirements, including working with 3rd party integrators
• Provide recommendations for standard methodologies pertaining to integration design and development

Requirements:

• 3+ years of experience building enterprise-level integrations with a focus on performance, scalability and security
• 3+ years experience with full-lifecycle project implementations
• Bachelor’s Degree in Mathematics, Computer Science, Engineering, or relevant experience
• Good understanding of SFDC business object model and relationships
• Experience with Matillion, DBT, Snaplogic or other data engineering ETL tools
• Hands-on experience working with data warehouse technologies (Snowflake, Redshift) and Big Data technologies (e.g Hadoop, Hive, Spark)
• Experience in integrating with Salesforce, Workday and other cloud based applications
• Working knowledge of Web Services (SOAP and REST)
• Ability to write code that others can understand, support, maintain, and expand
• Record of success delivering for production environment and new projects
• Excellent written and verbal communication skills —you effortlessly translate complex technical concepts for a non-technical audience
• Demonstrable ability to lead contending priorities successfully

Bonus points:

• Experience with Workato, AWS, Mulesoft or other integration platforms
• Experience with Airflow is a big plus
• Working knowledge of Sales and Marketing business processes
• Experience with Salesforce or other large enterprise applications
• Experience with building Slack applications
• Experience with integrating Slack with Workday