Chief Data Processing Specialist

2 days ago

Hubli, Karnataka, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 18,00,000
Cloud Data Engineer

Job Summary:

A Cloud Data Engineer designs, builds and maintains scalable data processing systems on Google Cloud Platform (GCP). They collaborate with cross-functional teams to ensure data accessibility, reliability and optimality for analytics and machine learning initiatives.

Key Responsibilities:

  • Data Pipeline Development:
  • Design, develop and maintain ETL/ELT pipelines using tools like Cloud Dataflow, Apache Beam and Cloud Dataprep.
  • Implement real-time data streaming solutions using Cloud Pub/Sub or Apache Kafka.
  • Data Storage & Warehousing:
  • Manage and optimize storage solutions such as BigQuery, Cloud Storage and Cloud Spanner.
  • Design efficient 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 analytics-ready formats.
  • Performance Optimization:
  • Monitor and troubleshoot data pipelines.
  • Optimize workflows for scalability, performance and cost-efficiency.
  • Security & Compliance:
  • Implement data governance policies.
  • Ensure compliance with data protection regulations.
  • Collaboration & Communication:
  • Work closely with data scientists, analysts and business stakeholders.
  • Translate technical solutions into business insights.

Required Skills:

  • Proficiency in Python, SQL and optionally Java or Scala.
  • Experience with GCP services: BigQuery, Cloud Dataflow, Cloud Storage, Cloud Composer 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 of experience in data engineering preferably in cloud environments.

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