Data Processing Engineer (Java, Apache Flink/Storm/Beam, GCP Cloud Data Solutions)

Job Summary

Synechron is seeking an experienced Data Processing Engineer to lead the development of large-scale data processing solutions using Java, Apache Flink/Storm/Beam, and Google Cloud Platform (GCP). In this role, you will collaborate across teams to design, develop, and optimize data-intensive applications that support strategic business objectives. Your expertise will help evolve our data architecture, improve processing efficiency, and ensure the delivery of reliable, scalable solutions in an Agile environment.

Software Requirements

• Required:
  • Java (version 8 or higher)
  • Apache Flink, Storm, or Beam for streaming data processing
  • Google Cloud Platform (GCP) services, especially BigQuery and related data tools
  • Experience with databases such as BigQuery, Oracle, or equivalent
  • Familiarity with version control tools such as Git
• Preferred:
  • Cloud deployment experience with GCP in particular
  • Additional familiarity with containerization (Docker/Kubernetes)
  • Knowledge of CI/CD pipelines and DevOps practices

Overall Responsibilities

• Collaborate closely with cross-functional teams to understand data and system requirements, then design scalable solutions aligned with business needs.
• Develop detailed technical specifications, implementation plans, and documentation for new features and enhancements.
• Implement, test, and deploy data processing applications using Java and Apache Flink/Storm/Beam within GCP environments.
• Conduct code reviews to ensure quality, security, and maintainability, supporting team members' growth and best practices.
• Troubleshoot technical issues, resolve bottlenecks, and optimize application performance and resource utilization.
• Stay current with advancements in data processing, cloud technology, and Java development to continuously improve solutions.
• Support testing teams to verify data workflows and validation processes, ensuring reliability and accuracy.
• Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives to ensure continuous delivery and process improvement.

Technical Skills (By Category)

• Programming Languages:
  • Required: Java (8+)
  • Preferred: Python, Scala, or Node.js for scripting or auxiliary processing
• Databases/Data Management:
  • Experience with BigQuery, Oracle, or similar relational data stores
• Cloud Technologies:
  • GCP (BigQuery, Cloud Storage, Dataflow etc.) with hands-on experience in cloud data solutions
• Frameworks and Libraries:
  • Apache Flink, Storm, or Beam for stream processing
  • Java SDKs, APIs, and data integration libraries
• Development Tools and Methodologies:
  • Git, Jenkins, JIRA, and Agile/Scrum practices
  • Familiarity with containerization (Docker, Kubernetes) is a plus
• Security and Compliance:
  • Understanding of data security principles in cloud environments

Experience Requirements

• 4+ years of experience in software development, with a focus on data processing and Java-based backend development
• Proven experience working with Apache Flink, Storm, or Beam in production environments
• Strong background in managing large data workflows and pipeline optimization
• Experience with GCP data services and cloud-native development
• Demonstrated success in Agile projects, including collaboration with cross-functional teams
• Previous leadership or mentorship experience is a plus

Day-to-Day Activities

• Design, develop, and deploy scalable data processing applications in Java using Flink/Storm/Beam on GCP
• Collaborate with data engineers, analysts, and architects to translate business needs into technical solutions
• Conduct code reviews, optimize data pipelines, and troubleshoot system issues swiftly
• Document technical specifications, data schemas, and process workflows
• Participate actively in Agile ceremonies, provide updates on task progress, and suggest process improvements
• Support continuous integration and deployment of data applications
• Mentor junior team members, sharing best practices and technical insights

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or equivalent
• Relevant certifications in cloud technologies or data processing (preferred)
• Evidence of continuous professional development and staying current with industry trends

Professional Competencies

• Strong analytical and problem-solving skills focused on data processing challenges
• Leadership abilities to guide, mentor, and develop team members
• Excellent communication skills for technical documentation and stakeholder engagement
• Adaptability to rapidly changing technologies and project priorities
• Capacity to prioritize tasks and manage time efficiently under tight deadlines
• Innovative mindset to leverage new tools and techniques for performance improvements

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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