1. Test Strategy & Planning
Primary Responsibilities:
- Define end-to-end
Salesforce testing strategy (Manual + Automation)
- Create:
- Test Plans
- Test Scenarios
- Test Cases
- Ensure complete test
coverage across:
- Functional Testing
- Regression Testing
- Integration Testing
- UAT (User Acceptance
Testing) Support
2. Team &
Stakeholder Management
Lead & Coordinate:
- Onshore and Offshore
QA/Test Teams
- Salesforce Developers
- Technical Leads
- Business Analysts
- Product Owners
- Release Management
Teams
- Environment Teams
Additional
Responsibilities:
- Conduct test status
meetings
- Review QA progress
- Quality sign-offs
before release
- Risk & defect
communication
3. Salesforce Testing
Expertise
Salesforce Platforms:
- Sales Cloud
- Service Cloud
- Experience Cloud
Salesforce Features to
Validate:
- Flows
- Validation Rules
- Approval Processes
- Security:
- Profiles
- Permission Sets
- Sharing Rules
Additional Testing:
- API / System
Integrations
- Third-party
integrations
- Data Migration /
Data Validation
- Salesforce best
practices compliance
4. Automation &
Tools
Automation
Responsibilities:
- Define automation
strategy
- Execute or oversee
automation suites
- CI/CD pipeline
regression validation
Required Tools:
- Selenium + Java
- Salesforce
automation frameworks
- Jira or Azure DevOps
- Defect lifecycle
management
Position:2
Note: Min:13+ Years Required
Job Title: Lead Azure Databricks Engineer
Location: Branchville, NJ(Day1 Onsite)
Duration: Long-Term Contract
Job Summary:
Responsibilities:
- Lead and mentor a team of
technical professionals, fostering a collaborative and high performance
culture.
- Design and implement data
processing solutions using Azure Databricks, ensuring scalability and
efficiency.
- Collaborate with cross
functional teams to gather requirements and translate them into technical
specifications.
- Oversee the development
lifecycle, from planning and design to deployment and maintenance.
- Conduct code reviews and
provide constructive feedback to team members to ensure code quality and
adherence to best practices.
- Stay up to date with industry
trends and emerging technologies related to Azure Databricks and data
engineering.
- Facilitate communication
between technical and non technical stakeholders to ensure alignment on
project goals.
- Identify and mitigate risks
associated with project delivery and team performance.
Mandatory Skills:
- Proven expertise in Azure
Databricks, including experience with Spark, data pipelines, and data
lakes.
- Strong programming skills in
languages such as Python, Scala, or SQL.
- Experience with cloud based
data storage solutions, particularly Azure Data Lake Storage and Azure SQL
Database.
- Solid understanding of data
modeling, ETL processes, and data warehousing concepts.
- Demonstrated ability to lead
technical teams and manage multiple projects simultaneously.
Preferred Skills:
- Familiarity with Azure DevOps
for CI/CD processes.
- Experience with machine
learning frameworks and libraries.
- Knowledge of data governance
and compliance standards.
- Strong analytical and problem
solving skills.
- Excellent communication and
interpersonal skills.
Qualifications:
- Bachelor's degree in Computer
Science, Information Technology, or a related field.
- 7 10 years of experience in data
engineering, software development, or a related technical role.
- Proven track record of leading
technical teams and delivering successful projects.
- Relevant certifications in
Azure or data engineering are a plus.
Thanks & Regards,
Vasu.K
US IT Recruiter
Email: va...@atvsllc.com
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