Data Engineer

What you’ll do

• Create and maintain data pipelines using the Google Cloud Platform using the following tools: Dataflow, PubSub, BigQuery and Cloud Storage (or their equivalent in other platforms such as AWS, Azure or Hadoop)
• Work with data scientists in building and optimizing our AI solutions for greater functionality in our data systems
• Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiencies
• Identify, design and implement process improvements: optimize data delivery and automate manual processes 
• Work with stakeholders including Product Owners, Technology, Data and Architecture teams to assist with data-related technical issues and support their data needs.
• Maintain data integrity and regionalization by defining boundaries through multiple GCP zones 
• Design and develop visualization using Tableau to perform statistical analysis of data

What experience you need 

• Bachelor’s Degree in Computer Science, Statistics, Mathematics or another quantitative field
• At least 4 years of working experience
• Experience with big data cloud tools tools: PubSub, Dataflow, BigQuery (Hadoop, Spark, Kafka, etc.)
• At least 2 years of experience with relational SQL and NoSQL databases
• At least 2 years of experience with object oriented/object function scripting languages: Python, Java, Scala, etc.
• At least 2 years of experience working with data integration tools such as Informatica, Pentaho, Talend, DataStage

What could set you apart

• GCP, AWS or Azure cloud certifications
• Experience working in an agile development environment 
• Experience specifically supporting Machine Learning or AI projects, including data preprocessing, feature engineering, and building pipelines for model training/serving datasets.
• Familiarity with containerization technologies like Docker and orchestration systems like Kubernetes.

We offer comprehensive compensation and healthcare packages, on-site doctor, paramedics service 24/7, life insurance, gym facilities, collaborative workspaces, free transportation and parking, subsidized cafeteria, solidarity association, and organizational growth potential through our online learning platform with guided career tracks.