Senior Data Engineer (Big Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Engineer (Big Data): Building, deploying, and maintaining mission-critical analytics solutions for processing terabytes of data with an accent on ETL, real-time streaming, and batch processing. Focus on performance tuning of complex SQL queries and optimizing distributed computing systems.
Location: Remote (US)
Company
is a custom product engineering company that supports multinational organizations and scaling startups in solving complex business challenges through digital transformation.
What you will do
- Build and maintain big-data analytics solutions capable of processing terabytes of data at scale.
- Design and implement data ingestion, real-time streaming, and ETL processes across multiple data storages.
- Optimize and tune complicated SQL queries and data flows to ensure high performance.
- Identify architectural gaps to improve the platform's quality, robustness, and speed.
- Collaborate within a cross-functional team, providing mentorship and cross-training on new technologies.
- Participate in community building and contribute to industry best practices.
Requirements
- 3+ years of experience in SQL, Java, Python, and Scala with strong CS fundamentals.
- 2+ years of experience in production deployments of large-scale backend data processing systems.
- Hands-on experience with Hadoop, Spark, Kafka, Storm, and NoSQL warehouses like HBase or Cassandra.
- 2+ years of experience with cloud data platforms such as AWS, Azure, or GCP.
- Knowledge of Data Warehousing design, optimization, and BI tools (PowerBI, Tableau).
- Must be based in the United States
Culture & Benefits
- Comprehensive healthcare, basic life insurance, and short/long-term disability insurance.
- Professional growth via internal meetups, workshops, and company-paid certifications.
- Access to learning platforms like Udemy and language courses.
- Internal mobility opportunities across diverse domains and cutting-edge technologies.
- Collaborative "One Team" culture and a friendly, open-door environment.
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