Enterprise Data Engineer | Cloud (aws, Azure) | Big Data (spark, Hadoop) | Etl & Data Pipelines | Sql & Nosql

Synechron

5+ years enterprise data pipeline experience
Strong python java or node.js programming skills
Hands-on apache spark hadoop flink frameworks
The role involves designing and maintaining large-scale data pipelines to support analytics and operational needs across the organization

Job Summary

  • The role involves designing and maintaining large-scale data pipelines to support analytics and operational needs across the organization.
  • Candidates will collaborate with cross-functional teams including data scientists and business stakeholders to deliver reliable data solutions.
  • The position requires implementing data governance, validation, and automated CI/CD practices to ensure data integrity and security.

Matching Summary

The role involves designing and maintaining large-scale data pipelines to support analytics and operational needs across the organization.

Skills & Requirements

Must-have

  • 5+ years enterprise data pipeline experience
  • Strong Python Java or Node.js programming skills
  • Hands-on Apache Spark Hadoop Flink frameworks
  • SQL and NoSQL database management expertise
  • Data orchestration with Apache Airflow Luigi

Nice-to-have

  • Containerization with Docker Kubernetes
  • Infrastructure as code Terraform CloudFormation
  • Stream processing Kafka Kinesis knowledge
  • Cloud deployment AWS Glue Azure Data Factory
  • Data security compliance GDPR HIPAA awareness

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • Minimum 5+ years of experience in enterprise data ecosystems
  • Experience deploying solutions on AWS Azure or GCP platforms

Work Rights

Not specified

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