Data Warehouse Engineer Graduate (Data Platform, Local Services) - 2027 Start
Responsibilities
Team Introduction
Our Data Platform Business Partnering team is at the core of TikTok Local Services business, responsible for generating tremendous amount of data and providing accessing services and applications. We empower many business & engineering teams to analyze and develop innovative strategies and products driving business growth. We are looking for passionate and talented engineers to join us to drive the future of Local Services together.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Translate business requirements and end-to-end solution designs into technical implementations, and build batch and real-time data warehouses.
- Lead data modeling design, and develop, maintain, and optimize ETL jobs.
- Collaborate with business teams to define and build data metrics based on the data warehouse.
- Build and maintain data products that support business analysis and decision-making.
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- Participate in system rollouts, upgrades, implementations, and releases to streamline internal processes and improve operational efficiency.
- Develop and implement analytical techniques and data applications to transform raw data into meaningful insights using data-oriented programming languages and visualization tools.
- Apply data mining, data modeling, natural language processing, and machine learning techniques to extract and analyze information from large-scale structured and unstructured datasets.
- Visualize, interpret, and communicate data findings, including the creation of dynamic reports and dashboards.
Qualifications
Minimum Qualification(s)
- Individuals who are completing or have recently completed a Bachelor's / Master's degree in Computer Science, Software Engineering, or a related technical discipline.
- Solid understanding of computer science fundamentals, including data structures and algorithms, SQL, and computer networks.
- Strong coding skills with proficiency in at least one programming language, such as C, C++, Java, Python, or Golang.
Preferred Qualification(s)
- Strong interest in data warehousing, ETL development, data analysis, and Local Services.
- Strong communication skills and the ability to quickly learn new business domains and technical concepts.
- Strong cross-functional collaboration skills, with the ability to build effective working relationships across teams and stakeholders.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- Short-Term Disability
- Long-Term Disability
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Snacks
- Pet-friendly Office
- Happy Hours
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Company Equity
Professional Development
- Promote From Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
Company Videos
Hear directly from employees about what it is like to work at TikTok.