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  • Emplois similaires à : Data Engineer, Global Live
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Data Engineer, Global LiveEllis Technologies, Inc. • San Jose, Arizona, United States
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Data Engineer, Global Live

Ellis Technologies, Inc.
  • US
    San Jose, Arizona, United States
  • US
    San Jose, Arizona, United States
Postuler Maintenant

À propos

Role Overview The Data Platform Global Live team is dedicated to empowering the growth of TikTok LIVE business through big data. We support our businesses in achieving their missions by building high quality real‑time and offline data warehouses, creating various forms of efficient and data‑friendly data assets, and exploring and implementing business oriented data solutions. We provide stable and reliable data capabilities for daily operations, analyses, decision‑making of TikTok LIVE features, in addition to robust data support to enhance live performance for streamers. As a data engineer in the Global Live team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands‑on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
Responsibilities
Understanding business problems, designing and implementing easy‑to‑use data solutions for businesses.
Collaborating with data engineers to understand the data system and provide a smooth data usage experience for data users, including but not limited to data discovery, data usage guidance, and promotion of the data system.
Collaborating with business teams from all over the world to drive user growth and revenue growth.
Qualifications
Good experience in data solutions, such as data consulting, product development, and data tools creation.
Strong problem‑solving and analytical skills with the ability to translate business needs into technical solutions and data metrics.
Understanding of data warehousing and the construction ideas of the data system.
Experience with coding (SQL, Python, etc.).
Passionate and self‑motivated about using data to drive business decisions.
Job Information The base salary range for this position in the selected city is $156,000 - $387,600 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
Fair Chance / Equal Opportunity Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
Exercising sound judgment.
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  • San Jose, Arizona, United States

Compétences linguistiques

  • English
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