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Data Architect Specialist

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Cloud Data Engineer Position

Key Responsibilities:

  • Design and develop robust data processing pipelines and analytics solutions using cloud-based big data platforms.
  • Architect scalable and efficient data models and storage solutions tailored for the cloud environment.
  • Collaborate with architecture and engineering teams to migrate existing solutions to cloud-based platforms.
  • Tune and optimize cluster and job performance to meet SLAs and evolving business needs.
  • Implement best practices for data governance, security, and compliance on cloud-based platforms.
  • Guide and mentor junior engineers, offering technical support and best practice recommendations.
  • Stay informed about emerging trends and new features in cloud technologies.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
  • 5 to 8 years of overall experience in data engineering, with a minimum of 2 years focused on cloud-based platforms.
  • Hands-on proficiency in programming languages such as Python, Scala, or SQL.
  • Solid understanding of distributed computing principles and big data frameworks like Apache Spark.
  • Experience with major cloud platforms (AWS, Azure, or GCP) and their respective data services.
  • Demonstrated ability to build scalable and reliable data solutions in dynamic environments.
  • Strong analytical and problem-solving skills with high attention to detail.
  • Effective communication and collaboration skills within cross-functional teams.

Preferred Qualifications:

  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
  • Understanding of DevOps practices for automating deployments and monitoring data pipelines.