Cloud Data Systems Specialist

2 weeks ago

Thāne, Maharashtra, India beBeeDataEngineer Full time ₹ 6,00,000 - ₹ 12,00,000
Job Overview

A GCP Data Engineer will design, build and maintain scalable data processing systems on Google Cloud Platform. Collaboration with cross-functional teams ensures data accessibility, reliability and optimisation for analytics and machine learning initiatives.

Key Responsibilities:

  • Data Pipeline Development: Design, develop and maintain ETL/ELT pipelines using 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 optimise 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 Optimisation: Monitor and troubleshoot data pipelines.
  • Optimise workflows for scalability, performance and cost-efficiency.
  • Security & Compliance: Implement data governance policies.
  • Ensure compliance with data protection regulations (e.g., GDPR, HIPAA).
  • 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 modelling 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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