Data Engineer - Google Cloud

If interested, Please apply on website:

https://aviato.jobs.growhire.com/jobs/cm2bie3v805ydpyl7zuwdobha

About Us:

Data Engineer

You will work directly with clients, translating their business requirements into scalable data solutions, while providing technical expertise and guidance.

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, PowerBI, 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 Google Cloud
• Proven experience in Python with libraries like Pandas and NumPy.
• 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.
• 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, or similar Pro level)

  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.

Benefits:

• Competitive salary and benefits package.
• Opportunities to work with cutting-edge cloud technologies with large customers.
• Collaborative work environment that encourages learning and professional growth.
• A chance to work on high-impact projects for leading clients in diverse industries.

If you're passionate about data engineering, cloud technologies, and solving complex data problems for clients, wed love to hear from you!