[Hiring] Data Engineer with Python @Codibly1

Codibly is a technology & consulting company focused on custom software and product development. We are a community of thinkers and innovators. People who want to code the difference and constantly develop their skills. Codibly's industrial expertise area concentrates mainly on the energy & utility sector, but we collaborated with various companies from fintech, healthcare, HR, and other industries.

Be here.

Be charged up.

YOU WILL BE RESPONSIBLE FOR

• Developing dedicated software solutions for the renewable energy sector.

• Discovering, designing and implementing technical solutions.

• Implementing machine learning algorithms.

• Designing and creating big data solutions.

• Implementing new features from the requirement to the production deployment.

• You will be a member of a Scrum team and exchange ideas with your colleagues on the team on a daily basis.

• Demonstrating excellent collaboration skills in working closely with other development teams/ project stakeholders/ clients.

• Providing technical leadership for the development team and mentorship for junior colleagues.

• Designing and writing technical documentation.

• At least 5 years of commercial experience in software development projects and/or deployment projects, ideally in cloud environments or network.

• Advanced knowledge of Python and its libraries like TensorFlow, Keras or PyTorch.

• Experience in working with the Snowflake data warehouse.

• Experience in designing and creating big data solutions.

• Knowledge of machine learning and deep learning techniques.

• Knowledge of cloud Azure.

• Experience in working with tools for processing and analyzing big data sets (Apache Spark).

• Knowledge of data visualization tools.

• Knowledge of design patterns and programming principles.

• Knowledge of DevOps area and tools like Ansible, Terraform, Kubernetes or, Docker (nice to have)

• Experience in Agile / Scrum practice.

• Good English communication skills (min. B2) – both verbal and written.