Responsibilities
- Design, construct, and manage reliable ETL workflows to consolidate data from diverse sources into the central data warehouse.
- Create and refine data warehouse table structures and schemas to meet analytical and reporting demands.
- Develop and enhance complex SQL queries and use scripting languages like Python to process and summarize large-scale datasets.
- Establish data validation and cleansing procedures to uphold accuracy and consistency across data systems.
- Work closely with analysts, scientists, and engineers to define data needs and deliver effective data solutions.
- Maintain clear documentation of data pipeline architectures, data movement, and definitions in alignment with team standards.
- Manage multiple concurrent projects, set priorities, and communicate progress to stakeholders to ensure timely delivery.
Compensation
Fair and competitive pay with scalable benefits, stock grant opportunities based on role and location, and additional country-specific perks.
Work Arrangement
Remote (Worldwide)
Team
Team of 7000 professionals operating across more than 100 countries in a globally distributed structure.
Other
- We are an equal-opportunity employer that welcomes applications from individuals of all backgrounds, including race, religion, sex, national origin, gender identity, sexual orientation, age, marital status, veteran status, disability, pregnancy, maternity, and other legally protected traits.
- We offer accommodations upon request during recruitment for applicants with disabilities.
- Our hiring approach centers on interviews and role-specific assessments.
- Occasionally, we may review informal background information pertinent to the role, in compliance with privacy and fairness standards.
- This process employs Automated Employment Decision Tools (AEDT) and AI systems to assess candidates based on experience, technical skills, and qualifications.
- We use AI-driven deepfake and fraud detection tools to verify candidate identity and authenticity during interviews and assessments.
- All final hiring decisions are made with human oversight.
- Personal data provided during the process is not used to train AI models.
- For NYC residents: In compliance with NYC Local Law 144, an independent bias audit of AEDT has been conducted; results are available at Ashby and Covey.
Not specified
