Expert Data Infrastructure Specialist

6 days ago

Kollam, Kerala, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 25,00,000
Data Engineering Role

Job Description:

We are looking for a skilled Data Engineer to design and implement robust data pipelines using cloud services such as GCP, AWS, or Azure. The ideal candidate will have deep expertise in cloud-based data processing technologies and be able to ensure data reliability, quality, and availability to support business needs.

Responsibilities:

  • Data Pipeline Design and Development: Design, develop, and maintain scalable data pipelines using cloud services (GCP, AWS, or Azure).
  • Data Ingestion, Transformation, and Storage: Implement data ingestion, transformation, and storage solutions to meet business requirements.
  • Data Quality and Integrity: Ensure data quality, integrity, and security across all data systems.
  • Pipeline Monitoring and Troubleshooting: Monitor and troubleshoot data pipelines to identify and resolve issues ensuring 99.999% uptime & performance SLAs of the production environment.
  • Collaboration with Stakeholders: Collaborate with data scientists and other stakeholders to understand data requirements and optimize data pipelines for performance, reliability, and cost-effectiveness.
  • Documentation: Create and maintain clear documentation of data flows, system architecture, and operational procedures.

Qualifications:

  • 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 is required.
  • 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.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.

Preferred Qualifications:

  • Experience developing data pipelines & processing services, with a deeper understanding of the Quality Controls.
  • Knowledge of IoT data and related technologies.
  • A Google Cloud Certified Professional Data Engineer will be given preference.

Benefits:

  • The opportunity to work on cutting-edge data infrastructure with a real-world impact.
  • A dynamic and challenging work environment that encourages innovation and growth.

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