Data Architecture Specialist

3 days ago

Aligarh, Uttar Pradesh, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000
Job Summary:

We are seeking a highly motivated and experienced data engineer to design, build, and maintain robust data pipelines. The ideal candidate will have deep expertise in cloud-based data processing technologies using GCP, AWS, or Azure. You will play a critical role in ensuring data reliability, quality, and availability to support our business needs.

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. Ensure high uptime and performance standards.
  • 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:
  • Bachelor's degree or higher in Computer Science, Engineering, or related fields.
  • Minimum 2 years of experience in data engineering or related roles.
  • Proficiency with cloud services such as GCP, AWS, or Azure is required.
  • Hands-on experience with distributed stream processing technology ecosystems, including Apache Kafka, Flink, or Beam etc.
  • Strong programming skills in languages such as Python, Scala, or NodeJS.
  • Experience with SQL, NoSQL, and especially timeseries databases.
  • Experience with parallel programming and 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 and processing services, with a deeper understanding of quality controls.
  • Knowledge of IoT data and related technologies.
  • A Google Cloud Certified Professional Data Engineer will be given preference.

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