Employee Handbook
Big Data Staging Academy
Tagline: Turn raw data into reliable pipelines
Effective Date: [DATE]
Table of Contents
- Welcome and Company Culture
- Employment Classifications
- Equal Opportunity Policy
- Compensation and Benefits Overview
- Work Schedule and Attendance
- Remote Work Policy
- PTO and Leave Policies
- Code of Conduct
- Anti-Harassment Policy
- Performance Review Process
- Disciplinary Procedures
- Grievance Procedures
- Technology and Social Media Policy
- Confidentiality Obligations
- Separation Procedures
- Acknowledgment Form
1. Welcome and Company Culture
Welcome Message
Welcome to Big Data Staging Academy! We are thrilled to have you join our team of data professionals dedicated to transforming raw data into reliable, actionable pipelines. Our mission is to empower businesses and individuals with the skills and tools necessary to build scalable, efficient, and trustworthy data staging solutions.
Our Culture
At Big Data Staging Academy, we value:
- Precision and Reliability: Just as data pipelines must be accurate, so must our work.
- Continuous Learning: The data industry evolves rapidly, and we encourage ongoing education and certification.
- Collaboration: Building pipelines is a team effort. We foster open communication and shared problem-solving.
- Integrity: We handle sensitive data responsibly and ethically.
2. Employment Classifications
Employees at Big Data Staging Academy are classified as follows:
- Full-Time Employees: Work 40 hours per week and are eligible for all company benefits.
- Part-Time Employees: Work fewer than 30 hours per week and may be eligible for limited benefits.
- Contractors: Independent professionals engaged for specific projects. Contractors are not eligible for company benefits.
- Interns: Temporary employees in training roles, typically for a duration of 3-6 months.
3. Equal Opportunity Policy
Big Data Staging Academy is an equal opportunity employer. We do not discriminate based on race, color, religion, gender, sexual orientation, national origin, age, disability, or any other protected characteristic.
If you believe you have been subjected to discrimination, please contact [REPRESENTATIVE_NAME], [REPRESENTATIVE_TITLE], at [EMAIL] or [PHONE].
4. Compensation and Benefits Overview
Compensation
- Salaries are benchmarked against industry standards for data professionals.
- Pay periods are bi-weekly, with direct deposit available.
Benefits
- Health Insurance: Comprehensive medical, dental, and vision plans.
- Retirement Plan: 401(k) with a 4% company match.
- Professional Development: Annual stipend of $2,000 for certifications (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer).
- Paid Time Off: See Section 7 for details.
5. Work Schedule and Attendance
Standard Work Hours
- Core hours: 9:00 AM to 5:00 PM [TIME ZONE].
- Flexibility: Employees may adjust schedules with manager approval.
Attendance
- Employees must notify their manager of absences at least 2 hours before their shift begins.
- Chronic tardiness or unexcused absences may result in disciplinary action.
6. Remote Work Policy
Eligibility
- All employees are eligible for remote work, provided their role does not require on-site presence.
Expectations
- Employees must have a stable internet connection (minimum 50 Mbps).
- Use of company-approved tools such as Slack, Jira, and Zoom is mandatory.
- Weekly check-ins with managers are required.
7. PTO and Leave Policies
Paid Time Off (PTO)
- Full-time employees accrue 15 days of PTO annually, prorated for the first year.
- PTO requests must be submitted via [HR PLATFORM] at least 2 weeks in advance.
Sick Leave
- Employees are entitled to 5 sick days per year.
Parental Leave
- 12 weeks of paid parental leave for eligible employees.
Unpaid Leave
- Requests for unpaid leave will be considered on a case-by-case basis.
8. Code of Conduct
Employees are expected to:
1. Maintain professionalism in all interactions.
2. Protect client data and intellectual property.
3. Avoid conflicts of interest.
Violations may result in disciplinary action, up to and including termination.
9. Anti-Harassment Policy
Big Data Staging Academy has zero tolerance for harassment of any kind. This includes:
- Sexual harassment
- Bullying or intimidation
- Discrimination
Reports can be made to [REPRESENTATIVE_NAME] at [EMAIL]. All reports will be investigated promptly and confidentially.
10. Performance Review Process
Frequency
- Annual performance reviews will be conducted in December.
Metrics
- Reviews will assess technical skills (e.g., SQL proficiency, ETL pipeline design), teamwork, and project delivery timelines.
Outcomes
- Employees may be eligible for bonuses or promotions based on performance.
11. Disciplinary Procedures
- Verbal Warning: For minor infractions.
- Written Warning: For repeated or serious issues.
- Final Warning: Issued before termination.
- Termination: For unresolved or severe violations.
12. Grievance Procedures
Employees may file grievances by submitting a written complaint to [REPRESENTATIVE_NAME]. Complaints will be reviewed within 5 business days.
13. Technology and Social Media Policy
Approved Tools
- Employees must use company-approved tools such as Apache Airflow, Tableau, and Snowflake.
Social Media
- Employees may not post proprietary information or disparage the company online.
14. Confidentiality Obligations
Employees must sign a Non-Disclosure Agreement (NDA) upon hire. Breaches of confidentiality will result in immediate termination and potential legal action.
15. Separation Procedures
Voluntary Resignation
- Employees must provide 2 weeks' notice.
Involuntary Termination
- Final paychecks will be issued within [STATE]’s legal timeframe.
Exit Interviews
- Conducted to gather feedback and return company property.
16. Acknowledgment Form
I, [EMPLOYEE_NAME], acknowledge that I have received, read, and understood the Big Data Staging Academy Employee Handbook.
Signature: _____
Date: _______
This handbook is subject to updates. Employees will be notified of changes via email.