Full Stack Data Engineer

Overview:

The ideal candidate has experience with Python and SQL and is capable of developing, operating, and maintaining data analytics applications on an AWS cloud-based big data platform. They have a strong interest in data science, can work independently and proactively, and integrate well into a small, dynamic team.

What will you do?

• Develop end-to-end features on an AWS cloud-based big data platform, focused on data analysis and processing.


• Actively contribute to discussions on feature architecture and the definition of the required data flows and processes.


• Create proofs of concept.


• Develop production-ready versions, perform testing, deploy to development, quality assurance, and production cloud environments, monitor initial performance, and carry out debugging and ongoing maintenance.


• Document the developed features using Confluence.


• Support data extraction and exploratory data analysis activities.

What are we looking for?

• Experience with Python, particularly in data manipulation and processing;


• Experience with SQL;


• Experience in programming and debugging;


• Interest in data science;


• Experience with AWS cloud services, such as S3, Lambda, Athena, EC2, Glue, AWS CDK/CloudFormation, Step Functions, Batch, and Fargate;


• Experience with Spark/PySpark;


• Experience with Git;


• Experience with Jupyter Notebooks;


• Experience developing applications and/or working in production environments;


• Proactivity and initiative;


• Strong teamwork skills;


• Ability and motivation to independently find solutions to problems;


• Interest in learning new skills.

What can you expect from us?

• A permanent job contract for a long term project;


• Tech equipment + SIM Card + personal smartphone;


• Health and Life Insurance;


• Social events and team buildings;


• The commitment of letting you grow with us, and be rewarded accordingly;


• A dynamic and young team that will be always there to support you;


• Training in the latest technologies;


• Coffee, fruits, snacks and a warm welcoming when you pass by the office.