Hybrid Data Platform Engineer (Spark, Kafka, Flink)

JobCubby; Cupertino (CA); Hybrid; USD 97,000 - 145,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401k with company match

Job summary

NTT DATA is seeking a Data Engineer - Data Platform in Cupertino, CA to design and implement large-scale streaming and batch data pipelines using Spark, Kafka, and Flink. You will build connectors, deploy Kubernetes-based platforms, and drive cloud migration to Azure while collaborating with cross-functional teams.

The role emphasizes platform engineering, automation, and data modernization, with a strong focus on reliability and performance across enterprise workloads.

Qualifications

• Minimum 8+ years of overall Software Engineering or Data Engineering experience.
• Minimum 5+ years of hands-on experience with Apache Spark for large-scale batch and streaming data processing.
• Minimum 5+ years of hands-on experience with Apache Kafka including event-driven architectures and real-time data streaming solutions.
• Minimum 3+ years of hands-on experience with Apache Flink for stream processing and real-time analytics workloads.
• Minimum 5+ years of experience developing applications using Java and/or Scala.
• Minimum 5+ years of experience writing complex SQL queries and optimizing database performance.
• Minimum 3+ years of experience with Kubernetes and containerized application deployment.
• Minimum 3+ years of experience designing and implementing solutions on Microsoft Azure Cloud.
• Minimum 3+ years of experience building and supporting distributed data platforms using Cassandra, YugabyteDB, PostgreSQL, or similar databases.
• Minimum 3+ years of experience building event-driven architectures and streaming applications.
• Minimum 2+ years of experience implementing CI/CD pipelines, source control, and deployment automation using GitLab, GitHub, or similar tools.
• Minimum 2+ years of experience with cloud-native deployment patterns, containerization, and platform automation.

Responsibilities

• Design, develop, and support scalable real-time and batch data pipelines using Apache Spark, Apache Flink, Apache Kafka, and Airflow.
• Build and enhance metadata-driven self-service data integration platforms and reusable connectors.
• Develop and maintain source and target connectors for relational databases, file systems, Kafka, Cassandra, YugabyteDB, and other enterprise data stores.
• Design, deploy, and operate Kubernetes-based streaming and batch processing platforms.
• Lead cloud migration initiatives from on-premise environments to Microsoft Azure.
• Drive performance tuning, scalability optimization, reliability improvements, and operational excellence across large-scale data workloads.
• Develop cloud-native solutions supporting enterprise data movement and processing.
• Collaborate with product owners, architects, cloud engineering teams, and business stakeholders to deliver enterprise-scale data solutions.
• Contribute to platform modernization, automation, CI/CD implementation, and engineering best practices.
• Support troubleshooting, production stability, and continuous improvement initiatives for critical data platforms.

Skills

Spark

Kafka

Flink

Java/Scala

SQL

Kubernetes

Azure

CI/CD

Airflow

Distributed systems

Education

Bachelor's degree in Computer Science

Tools

Airflow

Cassandra

YugabyteDB

PostgreSQL

Job description

NTT DATA is seeking a Data Engineer - Data Platform in Cupertino, CA to design and implement large-scale streaming and batch data pipelines using Spark, Kafka, and Flink. You will build connectors, deploy Kubernetes-based platforms, and drive cloud migration to Azure while collaborating with cross-functional teams.

The role emphasizes platform engineering, automation, and data modernization, with a strong focus on reliability and performance across enterprise workloads.