Junior Data Engineer

Learn about knok

At knok, we dare to lead and humanize the digital transformation of healthcare. We envision a world where everyone has timely access to quality healthcare through digital technology, creating a more equal society. We genuinely believe in it and you can recognise it in every person who embraces this mission. We are rapidly growing, delivering augmented telemedicine on 4 continents, and we have barely begun!

About the role

We are looking for a Junior Data Engineer to assist in building and maintaining data systems while constructing datasets that meet the company's analytical requirements. You will play a crucial role in implementing methods to enhance data reliability and quality, as well as converting raw data from various sources into consistent and machine-readable formats. If you're passionate about data and eager to learn, keep reading!

As a Junior Data Engineer, you will:

• Assist in combining raw information from different sources;
• Support in analyzing and organizing raw data;
• Assist in building and maintaining data systems and ETL pipelines;
• Help monitor and test the pipelines for reliability;
• Aid in evaluating business needs and objectives;
• Assist in interpreting trends and patterns within the data;
• Contribute to complex data analysis and report findings;
• Explore opportunities to enhance data quality and reliability;
• Contribute to the development of analytical tools and programs;
• Collaborate with data analysts, product managers, and other stakeholders on various projects;
• Assist in monitoring the cost of data systems.

About you

To be considered for this role, here are the skills we’re looking for:

• At least 1-2 years of experience as a data engineer or in a similar role;
• Basic knowledge of Python language (Object-Oriented Programming, unit testing, APIs, etc);
• Familiarity with ETL pipelines;
• Familiarity with SQL;
• Exposure to Airflow is a plus;
• Exposure to Version Control systems (e.g., GitHub);
• Exposure to columnar databases (e.g., Redshift, BigQuery, Snowflake);
• Understanding of dimensional modelling;
• Strong analytical skills;
• Degree in Computer Science, IT, or a related field; a Master’s degree is a plus;
• Knowledge in AWS is a plus;
• Knowledge in Heroku is a plus;
• Knowledge in dbt is a plus;
• Ability to communicate technical concepts to non-technical stakeholders effectively;
• Problem-solving skills to address data-related challenges efficiently;
• Analytical mindset for evaluating data solutions and making informed decisions;
• Collaborative approach to working effectively within a multidisciplinary team;
• Excellent time management and task prioritization skills;
• Willingness to learn and stay updated with evolving data technologies.