Cloud Data Engineer

3 days ago


Pune Gurgaon Gurugram, India beBeeDataEngineer Full time ₹ 8,00,000 - ₹ 25,00,000

Job Summary:

Cloud Data Engineer Role

The Cloud Data Engineer role requires expertise in designing, building, and maintaining large-scale data systems on cloud platforms. The successful candidate will have a deep understanding of data engineering principles, including data processing, storage, and analytics.

This role offers significant opportunities for growth and development within the company's data science and engineering teams. The ideal candidate will be passionate about working with cloud-based technologies, staying up-to-date with industry advancements, and collaborating with cross-functional teams to deliver high-impact projects.

Key Responsibilities:

  • Design, develop, and deploy scalable data pipelines using cloud-based technologies such as Azure, AWS, and GCP.
  • Collaborate with data scientists and engineers to integrate data from various sources, including databases, APIs, and external data providers.
  • Develop and maintain data warehouses, data lakes, and other data management systems to support business intelligence and analytics.
  • Ensure data quality, integrity, and security through robust testing, validation, and monitoring processes.

Requirements:

  • 3-4 years of experience in data engineering, cloud computing, or related fields.
  • Strong proficiency in programming languages such as Python, Java, or C++.
  • Experience with cloud-based data platforms, including Azure Data Factory, AWS Glue, and Google Cloud Dataflow.
  • Familiarity with containerization using Docker and Kubernetes.
  • Good understanding of data governance, compliance, and security best practices.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for career growth and professional development.
  • Collaborative and dynamic work environment.
  • Access to cutting-edge technologies and tools.

Additional Information:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
  • Industry-recognized certifications in cloud computing, data engineering, or related fields (e.g., AWS Certified Developer, Azure Certified Data Scientist).
  • Experience with Agile development methodologies and version control systems (e.g., Git).

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