À propos
Location:
New York, NY
Fully Onsite
Role Overview
seeking a highly skilled
Big Data Engineer with strong Cassandra experience
to design, build, and support scalable data platforms handling large volumes of structured and unstructured data. This role focuses on high-performance, distributed systems supporting mission-critical enterprise applications.
The ideal candidate will have deep experience with
Big Data technologies, NoSQL databases (Cassandra), and distributed data processing frameworks , and will collaborate closely with architecture, application, and analytics teams.
Key Responsibilities
Design, develop, and maintain large-scale
Big Data platforms
using
Apache Cassandra
Build and optimize
high-availability, fault-tolerant, distributed data solutions
Develop data pipelines for ingestion, processing, and transformation of high-volume data
Tune Cassandra clusters for performance, scalability, and reliability
Collaborate with application teams to design optimal data models and access patterns
Implement data consistency, replication, and backup strategies
Monitor, troubleshoot, and resolve production issues in Big Data environments
Ensure data security, governance, and compliance with enterprise standards
Participate in architecture discussions and contribute to platform modernization initiatives
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field
6+ years of experience in
Big Data engineering or distributed systems
Strong hands-on experience with
Apache Cassandra
(data modeling, tuning, operations)
Experience working with
Big Data ecosystems
(Hadoop, Spark, Kafka, etc.)
Strong knowledge of
NoSQL databases
and distributed data architectures
Proficiency in
Java, Scala, or Python
Experience with
Linux/Unix environments
Strong problem-solving and analytical skills
Excellent communication and collaboration skills
Preferred Qualifications
Experience in
financial services or banking domain
Knowledge of
cloud platforms
(AWS, Azure, or GCP)
Experience with
real-time or streaming data architectures
Familiarity with
DevOps tools , CI/CD pipelines, and automation
Exposure to data governance, security, and regulatory requirements
Compétences linguistiques
- English
Avis aux utilisateurs
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