Cloud Data Architect

5 days ago


Davangere, Karnataka, India beBeeData Full time ₹ 80,00,000 - ₹ 2,00,00,000
Job Opportunity:

We are seeking a highly motivated and experienced Data Engineer to join our team. The ideal candidate will have deep expertise in cloud-based data processing technologies using GCP, AWS, or Azure.

As a key member of our organization, you will play a critical role in ensuring data reliability, quality, and availability to support our business needs.

You will get to work on cutting-edge data infrastructure with a real-world impact. This is a fantastic opportunity for you to leverage your skills and knowledge to drive success.

Responsibilities include:

  • Data Pipeline Development: Design, develop, and maintain scalable data pipelines using cloud services (GCP, AWS, or Azure).
  • Data Ingestion & Storage: Implement data ingestion, transformation, and storage solutions.
  • Data Quality & Security: Ensure data quality, integrity, and security across all data systems.
  • Pipeline Monitoring & Troubleshooting: Monitor and troubleshoot data pipelines to identify and resolve issues.
  • Collaboration & Communication: Collaborate with data scientists and other stakeholders to understand data requirements.
  • Pipeline Optimization: Optimize data pipelines for performance, reliability, and cost-effectiveness.

Requirements:

  • B.Tech. / M. Tech. degree or higher educational qualification.
  • 2+ years of experience in Data Engineering or related roles.
  • Must have worked in production deployments, including managing scalable data pipelines that process high-volume, real-time data.
  • Proficiency with cloud services such as GCP, AWS, or Azure.
  • Hands-on experience with Distributed Stream Processing Technology ecosystem, including Apache Kafka, Flink or Beam etc.
  • Strong Programming skills in languages such as Python, Scala, or NodeJS.
  • Experience with SQL, NoSQL & especially Timeseries databases.
  • Experience with parallel programming & distributed data processing.
  • Solid understanding of data warehousing concepts and technologies.
  • Ability to design and implement data architectures.

Preferred Qualifications:

  • Experience developing data pipelines & processing services, with a deeper understanding of the Quality Controls.
  • Knowledge of IoT data and related technologies.


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