Cloud Data Engineer Position

2 days ago

Alwar, Rajasthan, India beBeeData Full time ₹ 15,00,000 - ₹ 30,00,000
Job Title: Data Engineer

Job Description:

As a seasoned Data Engineer, you will play a pivotal role in designing, building, and maintaining robust data pipelines that drive business growth. With expertise in cloud-based data processing technologies using GCP, AWS, or Azure, you will be responsible for ensuring data reliability, quality, and availability.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines using cloud services (GCP, AWS, or Azure).
  • Implement data ingestion, transformation, and storage solutions.
  • Ensure data quality, integrity, and security across all data systems.
  • Monitor and troubleshoot data pipelines to identify and resolve issues.
  • Collaborate with data scientists and other stakeholders to understand data requirements.
  • Optimize data pipelines for performance, reliability, and cost-effectiveness.
  • Create and maintain clear documentation of data flows, system architecture, and operational procedures.

Required Skills and 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.

Benefits:

  • Work on cutting-edge data infrastructure with real-world impact.
  • Opportunity to collaborate with data scientists and other stakeholders.
  • Professional growth and development opportunities.

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