6 дней назад
Sr. Data Engineer
115 000 - 145 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Data Engineer (Big Data/Cloud Platforms): Building and maintaining scalable data systems and pipelines that ingest, process, and store large volumes of internal and partner data with an accent on reliability, feature engineering, and automated batch and real-time processing. Focus on distributed cloud architectures, CI/CD and test automation, observability, and integrating data science solutions into streaming services.
Location: New York City, United States; hybrid schedule with office attendance required a minimum of four days per week
Salary: $115,000–$145,000 per year
Company
is a global media and entertainment company producing and distributing film, television, streaming, news, sports, and theme park content.
What you will do
- Design, develop, and maintain reliable, testable data systems and pipelines.
- Ingest, process, cleanse, and store large volumes of data from internal and external systems.
- Work with stakeholders to define business requirements, KPIs, and acceptance criteria.
- Build real-time and automated batch implementations of data science solutions with software and data architects.
- Maintain code repositories, CI/CD deployments, test automation, and peer review practices.
- Use observability and advanced analytics to identify issues, diagnose causes, and implement fixes.
Requirements
- Bachelor’s degree in computer science, information technology, or a related field.
- 5+ years of experience with big data, ETL, pipeline development, analysis, and programming.
- Experience building scalable, distributed, highly available, and resilient systems with platforms such as Snowflake, Databricks, GCP, or AWS.
- Strong SQL and data processing skills, plus experience with data visualization.
- Experience with software repositories, CI/CD pipelines, test automation, SRE practices, and cloud environments.
- Ability to work from the New York City office at least four days per week.
Nice to have
- Experience with multi-billion-record datasets and enterprise digital analytics platforms.
- Knowledge of CDNs used to deliver streaming media.
- Experience leading projects spanning data science and data engineering.
- Familiarity with Agile methodologies, including Scrum and Kanban.
Culture & Benefits
- Collaborative environment with design reviews, architectural discussions, and knowledge-sharing sessions.
- Medical, dental, and vision insurance.
- 401(k), paid leave, and tuition reimbursement.
- Additional employee discounts and other company benefits.
Hiring process
- External candidates may be required to attend an in-person interview at an location before a hiring decision.
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