5 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 Data Platforms): Building and maintaining scalable data systems and pipelines that ingest, process, and store large volumes of internal and external data with an accent on reliability, data quality, and analytical accessibility. Focus on real-time and batch data solutions, CI/CD and test automation, observability, and resilient cloud architectures.
Location: New York City, USA; hybrid schedule requiring work from the office at least four days per week
Salary: USD 115,000–145,000 yearly
Company
Global media and entertainment company producing and distributing film, television, streaming, news, sports, and theme park content and experiences.
What you will do
- Design, develop, and maintain reliable, testable data systems and pipelines.
- Ingest, cleanse, transform, and process large volumes of data from internal and external sources.
- Work with stakeholders to define business requirements, KPIs, and acceptance criteria.
- Build real-time and automated batch implementations with software and data architects.
- Maintain repositories, CI/CD deployments, peer reviews, and test automation.
- Use observability and advanced analytics to identify issues, diagnose failures, and develop 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.
- Familiarity with Agile methodologies; knowledge of CDN-based streaming media delivery is advantageous.
Nice to have
- Experience with Snowflake or similar data services.
- Experience working with multi-billion-record datasets and projects spanning data science and data engineering.
- Knowledge of enterprise-level digital analytics platforms.
- Experience with CDNs for streaming media delivery.
Culture & Benefits
- Collaborative environment with design reviews, architectural discussions, and knowledge-sharing sessions.
- Company-sponsored medical, dental, and vision insurance.
- 401(k), paid leave, tuition reimbursement, and employee discounts.
- Inclusive workplace focused on respect, authenticity, community impact, and employee development.
Hiring process
- External candidates may be required to attend an in-person interview at an location before a hiring decision.
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