Engineer

2 weeks ago

Thāne, Maharashtra, India Alp Consulting Ltd. Full time

Job Summary:

As a GCP Data Engineer, you will be responsible for designing, building, and maintaining scalable data processing systems on Google Cloud Platform (GCP). You will collaborate with cross-functional teams to ensure data is accessible, reliable, and optimized 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 (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 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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