Senior Spark Developer — Cloud Data Platform & Kafka

Apex Systems

Jersey City (NJ)

On-site

USD 152,000 - 234,000

Full time

4 hours ago
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Job summary

Apex Systems is seeking a Senior Apache Spark Developer in Jersey City, NJ to design and build distributed data processing solutions using Spark and Kafka, with migration to Databricks and AWS.

You will contribute to cloud-native data platforms, optimize Spark jobs, and implement CI/CD and observability across the data stack. Requires 5+ years of Spark experience and strong Java/Python skills.

Qualifications

  • 5+ years of hands-on development experience with Apache Spark.
  • Experience designing and supporting large-scale distributed systems.
  • Experience with relational and distributed data platforms.

Responsibilities

  • Design, develop, and optimize Spark-based applications for large-scale data processing.
  • Build streaming and batch data solutions leveraging Apache Kafka and Apache Spark.
  • Develop reusable frameworks and components for enterprise data engineering initiatives.
  • Support migration efforts from on-premises data platforms to Databricks and AWS.
  • Collaborate with architects and platform engineers to implement cloud-native data solutions.
  • Optimize Spark jobs for performance, scalability, reliability, and operational efficiency.
  • Participate in design reviews, testing, and production support activities.
  • Implement CI/CD, monitoring, and observability practices for distributed data applications.
  • Troubleshoot issues across Spark, Kafka, Databricks, and cloud environments.

Skills

Spark
Kafka
Java
Python

Education

Bachelor’s Degree

Tools

Databricks
AWS
Kafka

Job description

Apex Systems is seeking a Senior Apache Spark Developer in Jersey City, NJ to design and build distributed data processing solutions using Spark and Kafka, with migration to Databricks and AWS.

You will contribute to cloud-native data platforms, optimize Spark jobs, and implement CI/CD and observability across the data stack. Requires 5+ years of Spark experience and strong Java/Python skills.

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