Data Architect Specialist

2 weeks ago

Bikaner, Rajasthan, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview

We are seeking a skilled professional to design and implement robust data pipelines that support our business needs. This role will play a critical part in ensuring the reliability, quality, and availability of data across various systems.

  • Data Pipeline Design and Development

The ideal candidate will have expertise in cloud-based data processing technologies using GCP, AWS, or Azure and experience with distributed stream processing technology ecosystems. Proficiency in languages such as Python, Scala, or NodeJS is also required. Additionally, knowledge of SQL, NoSQL, and Timeseries databases will be beneficial for this position.

Responsibilities:

  • Design 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.

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 managing scalable data pipelines processing high-volume real-time data.
  • Proficiency with cloud services like GCP, AWS, or Azure is required.
  • Hands-on experience with Distributed Stream Processing Technology ecosystem, including Apache Kafka, Flink, or Beam.
  • Strong Programming skills in languages like 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 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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