Job Description

•Build Salesforce solutions on Salesforce Service Cloud, , Salesforce Communities and Knowledge
 •Develop end to end Salesforce solutions using Configuration and Customization - APEX Class, Triggers, Visualforce pages, Lightning components etc.,
 •Automate business processes using Salesforce automation tools, such as Process Builder, Workflows, Formulas, Flow, Assignment Rules and email Alerts
 •Build integrations between Salesforce and external applications using REST, SOAP APIs, oAuth and Single Sign-On.
 •Migrate changes from development to test to production environment(s) using CI technologies •Perform data updates / migration using Data Loader and other similar tools •Participate in daily scrum meetings, analyze assign user stories, identify/resolve gaps in functional user stories/business requirements •Adhere to defined coding standards and develop well-structured, maintainable and easy to understand code. •Perform independent code reviews and write unit/integration test cases to achieve 85% test coverage
 •Ability to effectively debug and resolve issues and/or defects which may be reported as a result of faults in the production system

Expected Deliverables: 
1. Resolution of a Backlog of issues/bugs/enhancements, includes integration/intake of emails to the Salesforce application

2. Demonstration of capabilities including:
• Salesforce voice capabilities;
• FAQ enhancement;
• CMS intake form enhancement; and
• Other enhancements / bug fixes requested as part of maintenance.

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Job Description

Duties and Responsibilities: • Develop data solutions in collaboration with other team members and software engineering teams that meet and anticipate business goals and strategies • Work with senior data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling • Develop and manage scalable data processing platforms for both exploratory and real-time analytics • Oversee and develop algorithms for quick data acquisition, analysis and evolution of the data model to improve search and recommendation engines. • Document and demonstrate solutions • Design system specifications and provide standards and best practices • Support and mentor junior data engineers by providing advice and coaching • Make informed decisions quickly and taking ownership of services and applications at scale • Be a persistent, creative problem solver, constantly striving to improve and iterate on both processes and technical solutions • Remain cool and effective in a crisis • Understand business needs and know how to create the tools to manage them • Take initiative, own the problem and own the solution • Other duties as assigned  Supervisory Responsibilities: • None  Minimum Qualifications: • Bachelor's Degree in Data Engineering, Computer Science, Information Technology, or a related discipline (or equivalent experience) • 8+ years experience in data engineering development • 5+ years experience working in object oriented programming languages such as Python or Java • Experience working in an Agile environment

Qualifications

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