GCP Data Engineer

Would you like to make an impact in different industries with your work? Then this project is for you. Here you will have the opportunity to be part of a multicultural and inclusive team with global projection that contacts with areas such as consultancy, law, strategy, insurance, finance, among others.

We are looking for a GCP Data Engineer to work in this project in Lisbon. 

Key Responsibilities:

• Collaborating with Cloud Solution Architects in implementing complex end-to-end Enterprise solutions on Google Cloud Platform;
  
• Supporting the strategy, planning, and implementation of data design services, providing sizing and configuration assistance, and performing needs assessments;
  
• Developing and maintaining data lake and data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics;
  
• Excitement to work with customers to understand their overall data estate, IT and business priorities and success measures to design implementation architectures and solutions;
  
• Assessing the Customers' knowledge of Google Cloud Platform and overall cloud data readiness to support customers through a structured learning plan and ensure its delivery. 

Skills and attributes for success:

• Communication is essential, must be able to listen and understand the question and develop and deliver clear insights;
  
• Independent and able to manage and prioritize workload;
  
• Ability to adapt quickly and positively to change;
  
• This position will require strong analytical and problem-solving skills;
  
• You will also be a part of larger team (incl. client-side stakeholders), so communication and collaboration skills will also help you to succeed.

Requirements:

• Bachelor’s degree in information systems, Computer Science, Engineering, or other related;
  
• 2+ years of professional consulting experience in technology consulting or similar roles.
  
• Good understanding of ETL, ELT, data ingestion/cleansing and engineering skills;
  
• Highly recognized knowledge PySpark, SparkSQL, SQL and/or Python;
  
• Experience and knowledge valued in Data Ingestion and Storage;
  
• Excellent English communication skills (written & spoken). A good level of another foreign language would be an asset.

Ideally, you'll also have:

• Experience with DevOps, CI/CD, Agile and/or Scrum methods of delivery;
  
• MS Certifications: Google Cloud Professional Data Engineer, Professional Cloud Database Engineer, Associate Cloud Engineer.