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.
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