About
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
Languages
- English
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