Salesforce Developer
GoodleapSalary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries
Requirements
- Proven experience in a similar role
- Strong organizational and time-management skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
- Adaptability to changing circumstances and priorities
- Proficiency in relevant systems and technologies
- Minimum 7+ years of hands-on experience
- In-depth knowledge of Salesforce’s capabilities (declarative and programmatic) and integration capabilities
- Superior knowledge of APEX, Visualforce, Lightning Web Components, Salesforce APIs, and SOQL
- Strong understanding of data modeling, security, and performance optimization in Salesforce
- Experience with Salesforce Service and Field Service Cloud (application design, architecture, and development)
- Strong leadership skills with proven experience leading and managing a team
- Excellent communication and stakeholder management skills
Responsibilities
- Perform tasks and complete projects as assigned by the manager or supervisor
- Communicate effectively with internal partners and other departments as needed
- Meet project deadlines and maintain a high level of accuracy and attention to detail
- Ensure adherence to company policies and procedures
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary for the Salesforce Service Cloud Lead Developer role?
The salary is competitive, but specific details are not provided.
Is this position remote or does it require office work?
The position is flexible and remote.
What key skills are required for this role?
Required skills include in-depth knowledge of Salesforce capabilities, superior knowledge of APEX, Visualforce, Lightning Web Components, Salesforce APIs, and SOQL, strong understanding of data modeling, security, and performance optimization, experience with Salesforce Service and Field Service Cloud, and strong leadership skills.
What benefits does ShyftLabs offer?
Benefits include a competitive salary, strong insurance package, and extensive learning and development resources.
What makes a strong candidate for this position?
A strong candidate has 7+ years of hands-on experience, proven experience in a similar role, strong leadership with team management experience, excellent communication and stakeholder management skills, and the ability to work independently and collaboratively in a fast-paced environment.
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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