Job Title: Big Data Engineer – Cassandra 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
Numbers & Facts
Location
NY, NY
Skills
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Apache Cassandraunmatched
Apache Hadoopunmatched
Apache Sparkunmatched
Automationunmatched
Banking Servicesunmatched
Big Dataunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Managementunmatched
Data Modelingunmatched
Data Processingunmatched
Database Replicationunmatched
DevOpsunmatched
Distributed Computingunmatched
Ecosystemsunmatched
Enterprise Applicationsunmatched
Financial Servicesunmatched
GCP (Good Clinical Practices)unmatched
High Availabilityunmatched
Identify Issuesunmatched
Information/Data Security (InfoSec)unmatched
Javaunmatched
Linux Operating Systemunmatched
Microsoft Windows Azureunmatched
NoSQLunmatched
Performance Tuning/Optimizationunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
Regulatory Complianceunmatched
Regulatory Requirementsunmatched
Scala Programming Languageunmatched
Scalable System Developmentunmatched
Software Designunmatched
Structured Dataunmatched
Systems Administration/Managementunmatched
Team Playerunmatched
Unix Operating Systemsunmatched
Unstructured Dataunmatched
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