Transforming Business with Scalable Data Architectures

1 week ago

Bharatpur, Rajasthan, India beBeeData Full time ₹ 15,00,000 - ₹ 30,00,000
Scalable Data Solutions Engineer

About this role: We are seeking a seasoned professional with extensive experience in Big Data technologies and Google Cloud Platform services to design and implement scalable data solutions.

This is a key position for our organization as we prioritize execution early in the process for impactful results, combining logic, creativity, and curiosity to build and solve complex challenges.

  • Design, develop, and optimize data pipelines using GCP BigQuery, Dataflow, and Apache Airflow.
  • Utilize the Big Data Hadoop ecosystem to manage and process vast datasets efficiently.
  • Collaborate with cross-functional teams to gather requirements and deliver reliable data solutions.
  • Maintain data quality, consistency, and integrity across multiple data sources.
  • Stay updated with emerging trends and best practices in GCP data analytics and big data technologies.

Key Responsibilities:

  • Implement scalable data architectures to support business growth.
  • Develop and maintain high-performance data processing systems.
  • Collaborate with technical teams to identify opportunities for process improvements.
  • Conduct code reviews and ensure adherence to coding standards.
  • Provide expert-level guidance on data engineering principles and best practices.

Required Skills:

  • GCP Storage
  • GCP BigQuery
  • GCP DataProc
  • GCP Cloud Composer
  • GCP DMS
  • Apache airflow
  • Java
  • Python
  • Scala
  • GCP Datastream
  • Google Analytics Hub
  • GCP Workflows
  • GCP Dataform
  • GCP Datafusion
  • GCP Pub/Sub
  • ANSI-SQL
  • GCP Dataflow
  • Big Data Hadoop Ecosystem

Benefits:

  • Competitive salary and benefits package
  • Opportunities for career growth and professional development
  • Collaborative and dynamic work environment
  • Access to cutting-edge technology and tools

Others:

Must have at least 5-10 years of experience in the field.

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