Data Engineer

5 days ago

Remote, India Aviato Consulting Full time ₹ 6,00,000 - ₹ 15,00,000 per year

If Interested, Please apply directly from website:

Job Summary

We are seeking a skilled Data Engineer specializing in Google Cloud to join our team. The ideal candidate will be responsible for designing and implementing scalable data pipelines for our organization. If you are passionate about data and possess a strong technical background, we would love to hear from you.

Key Responsibilities:

  • Client Engagement: Work closely with clients to understand business needs, gather technical requirements, and design solutions leveraging GCP services.
  • Data Pipeline Design & Development: Build and manage scalable data pipelines using tools such as Apache Beam, Cloud Dataflow, and Cloud Composer.
  • Data Warehousing & Lake Solutions: Architect, implement, and optimize BigQuery-based data lakes and warehouses.
  • Real-Time Data Processing: Implement and manage streaming data pipelines using Kafka, Pub/Sub, and similar technologies.
  • Data Analysis & Visualization: Create insightful data dashboards and visualizations using tools like Looker, Data Studio, or Tableau.
  • Technical Leadership & Mentorship: Provide guidance and mentorship to team members and clients, helping them leverage the full potential of Google Cloud.

Required Qualifications:

  • Experience:
  • 5+ years as a Data Engineer working with cloud-based platforms.
  • Proven experience in Python with libraries like Pandas and NumPy.
  • Strong understanding and experience with FastAPI for building APIs.
  • Expertise in building data pipelines using Apache Beam, Cloud Dataflow, or similar tools.
  • Solid knowledge of Kafka for real-time data streaming.
  • Proficiency with BigQuery, Google Pub/Sub, and other Google Cloud services.
  • Familiarity with Apache Hadoop for distributed data processing.
  • Technical Skills:
  • Strong understanding of data architecture and processing techniques.
  • Experience with big data environments and tools like Apache Hadoop.
  • Solid understanding of ETL pipelines, data ingestion, transformation, and storage.
  • Knowledge of data modeling, data warehousing, and big data management principles.
  • Certifications:
  • Google Cloud certification (Professional Data Engineer, Cloud Architect) is mandatory for this role.

Soft Skills:

  • Excellent English communication skills.
  • Client-facing experience and the ability to manage client relationships effectively.
  • Strong problem-solving skills with a results-oriented approach.

Preferred Qualifications:

  • Visualization Tools: Experience with tools like Looker, Power BI, or Tableau.

Job Type: Full-time

Pay: ₹700, ₹1,500,000.00 per year

Benefits:

  • Flexible schedule
  • Health insurance
  • Internet reimbursement
  • Paid time off
  • Provident Fund
  • Work from home

Experience:

  • Data Engineer: 5 years (Required)
  • Google Cloud Platform: 4 years (Required)

Work Location: Remote

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