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Sr. Big Data Engineer– Data Streaming

Mindlance
Concord, CA Full Time
POSTED ON 3/10/2025
AVAILABLE BEFORE 5/13/2025

Job Title : - Sr. Big Data Engineer– Data Streaming

Job Location : Concord, CA

Top 3 / 5 Skills : Apache Flink, Kafka, Kubernenetes / openshift

Min & Max Pay Rate : - $90 / hr-$95 / hr

Zip Code : 94520

Job Responsibilities

Key Responsibilities :

  • Design, develop, and optimize real-time stream processing applications using Apache Flink .
  • Develop and maintain MongoDB databases, ensuring high availability and performance.
  • Work with Kafka for event-driven data streaming, message brokering, and real-time processing.
  • Utilize Big Data frameworks and tools to build scalable and efficient data solutions.
  • Deploy and manage applications on OpenShift and Kubernetes , ensuring scalability and resilience.
  • Collaborate with cross-functional teams, including data engineers, software developers, and DevOps, to deliver high-performance solutions.
  • Optimize application performance, troubleshoot issues, and implement best practices for distributed systems.

Sr. Big Data Engineer– Data Streaming – IT – Information Technology

Job Summary : We are seeking a highly skilled Engineer Level 5 with expertise in Flink stream processing , MongoDB , Kafka , and Big Data technologies . The ideal candidate will have hands-on experience with OpenShift and Kubernetes for deploying and managing containerized applications in cloud environments. This role requires strong problem-solving skills, an analytical mindset, and a passion for working with real-time data processing at scale.

Required Qualifications :

  • Extensive experience in Flink for stream processing and real-time analytics.
  • Strong expertise in MongoDB database administration and development.
  • Hands-on experience with Kafka for real-time event processing and messaging.
  • Proven background in Big Data technologies and distributed computing.
  • Proficiency in OpenShift and Kubernetes for container orchestration and cloud-native deployments.
  • Experience working with large-scale, high-performance systems.
  • Strong problem-solving skills and ability to work independently in a fast-paced environment.
  • Preferred Qualifications :

  • Experience with additional Big Data frameworks (Hadoop, Spark, etc.).
  • Knowledge of cloud platforms (AWS, GCP, or Azure) and cloud-native architectures.
  • Familiarity with DevOps tools for CI / CD and infrastructure automation.
  • Strong scripting and programming skills in Python, Java, or Scala.
  • Salary : $90 - $95

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