Cloud Data Specialist

1 week ago

Bareilly, Uttar Pradesh, India beBeeDataEngineering Full time ₹ 20,00,000 - ₹ 25,00,000

Transform Your Career as a Data Engineering Professional

About the Role

This is an exciting opportunity to join our organization as a seasoned data engineering expert, responsible for designing and implementing scalable data processing systems on Google Cloud Platform (GCP). As part of this role, you will collaborate with cross-functional teams to ensure seamless data accessibility, reliability, and optimization for analytics and machine learning initiatives.

Key Responsibilities
  • Data Pipeline Development:
  • Design and develop efficient ETL/ELT pipelines using tools like Apache Beam, Cloud Dataprep and BigQuery
  • Implement real-time data streaming solutions using Cloud Pub/Sub or Kafka
  • Data Storage & Warehousing:
  • Manage storage solutions such as Cloud Storage and Cloud Spanner
  • Design optimized data models and schemas for structured and unstructured data
  • Data Integration & Transformation:
  • Integrate data from multiple sources into unified data lakes or warehouses
  • Cleanse, enrich and transform raw data into actionable formats
  • Performance Optimization:
  • Monitor and troubleshoot data pipelines
  • Optimize workflows for scalability, performance and cost-effectiveness
  • Security & Compliance:
  • Implement robust data governance policies
  • Ensure compliance with industry-standard data protection regulations
Requirements
  • Proficiency in Python, SQL and optionally Java or Scala
  • Experience with GCP services: BigQuery, Cloud Dataflow, Cloud Storage etc.
  • Strong understanding of data warehousing, data modeling and ETL processes
  • Familiarity with real-time data processing and streaming architectures
  • Knowledge of data governance, security and compliance standards
Qualifications
  • Bachelor's degree in Computer Science, Engineering or related field
  • GCP Professional Data Engineer certification preferred
  • 2+ years experience in data engineering preferably in cloud environments

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