Gcp Data Engineer | Java & Pyspark

Synechron

Java spring boot development
Pyspark large-scale data processing
Google cloud platform dataproc bigquery
Lead the development of scalable data pipelines and microservices on Google Cloud Platform to support global marketing initiatives

Job Summary

  • Lead the development of scalable data pipelines and microservices on Google Cloud Platform to support global marketing initiatives.
  • Collaborate with cross-functional teams to modernize architecture by migrating workloads from Hadoop and Spark to GCP cloud infrastructure.
  • Conduct performance tuning and system optimization while mentoring junior team members and enforcing coding standards.

Matching Summary

Lead the development of scalable data pipelines and microservices on Google Cloud Platform to support global marketing initiatives.

Skills & Requirements

Must-have

  • Java Spring Boot development
  • PySpark large-scale data processing
  • Google Cloud Platform DataProc BigQuery
  • SQL query optimization
  • GKE microservices deployment

Nice-to-have

  • Cloud Composer workflow experience
  • Kafka real-time streaming knowledge
  • TensorFlow Scikit-learn ML libraries
  • Hadoop Hive legacy migration skills
  • Jenkins Cloud Build CI/CD pipelines

Key Requirements

  • 4+ years professional experience in data engineering
  • Bachelor's or Master's degree in Computer Science or related field
  • Proven expertise in Java and PySpark for large data processing

Work Rights

Not specified

Tailored Resume

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