Data Engineer |

At Intelygenz, we envision a future where processes accelerate performance.
For the companies we work with, this means finding ways to optimize their data using cutting-edge technologies like AI-enabled automation.
This mindset is a huge part of our culture.
We thrive on pooling our skills, collaborating on projects, helping one another learn and creating innovations.
What are you going to do?
Development Locate data sources.
Ensuring the quality of the data presented.
Providing temporary solutions to data gaps.
Providing solutions and insights aligned with requirements.
Communicate ideas, new methods or technologies with the aim of improving the current technology stack.
Participate actively and constantly in the design and development of processes.
Ensure the success and quality of the delivered solutions.
Comply with all project and company guidelines and standards and ensure that the team is doing so.
Fulfilling all commitments by closing deliverables on time.
Proactivity and ability to work autonomously.
Functional data validation.
What will make you succeed in your role?
Python and Spark Experience in Data Science & Machine learning projects Cloud computing (Azure) and Databricks Demonstrable experience in development under the continuous integration model and code review.
Experience in the design and development of APIs.
Experience participating in the design of system architecture based on distributed services.
Demonstrable experience in high performance and concurrency execution environments.
Bonus Points English Proficiency #J-18808-Ljbffr