Position: Big Data Engineer
Company: MWDN
Category: SQL
Experience required: 3y
English level: intermediate
Published: 2021-07-01T00:00:00+03:00

WE OFFER:
-People-oriented management without bureaucracy
-The friendly climate inside the company which is confirmed by the frequent come back of previous employees
-Flexible working schedule
-Paid time off (18 working days per year, plus all national holidays and 9 sick days)
-Laptop of your choice: MacBook Pro or Windows/Linux business laptop + large extra screen
-Full financial and legal support for private entrepreneurs
-Education compensation
-Free English classes with native speakers or with Ukrainian teachers (for your choice)
-Dedicated HR
-Comfortable offices in the city center (pets friendly btw:))
-Possibility to choose your workspace either remote or combination of your home and one of our development offices/possibility of rotation between offices (Kyiv, Kharkiv)
-We help with relocation. If you’d like to move to Kyiv or Kharkiv, we’ll try our best to make your relocation smooth and effortless
-Last but not least - regular team buildings and corporate events

RESPONSIBILITIES:
-Develop the company’s DWH and data infrastructures, in order to provide data consistency and enable easy and reliable data extraction for analytical and ML purposes.
-Build data infrastructure architecture, ETL processes, and data integration.
-Additionally, while the company receives big amounts of data from its data partners, you will be responsible to build supporting tools to ingest the data into our infrastructure and DWH, as well a to build data validation pipelines.
-Encountering tabular data, JSON, and textual formats, integrating several cloud servers, various files, and stand-alone data sources.

REQUIREMENTS:
- 3 years minimum of proven "hands-on" experience as a Big-Data engineer: building data pipelines, ETL processes, data integration pipelines. 
- Proficiency with Python and SQL – a must
- Experience working with both SQL and NoSQL databases
- Experience working with cloud environments 
- Experience with stream processing, such as Kafka/pubsub/kinesis
- Experienced with data orchestration tools such as airflow/argo
- Bachelor's degree in Engineering/Computer Science/related discipline
- English level - intermediate or higher


WILL BE A PLUS:
-Experience working with Cl/CD
-Experience working with GCP tools and Grafana

ABOUT THE PROJECT:
Antidote is revolutionizing telemedicine, creating an environment for doctors to remotely treat patients for various health conditions, for affordable prices. The company collects and leverages big amounts of health data, to create analytical and Al-based solutions for the company’s products. If you are eager to jump into the water and learn many new things, you belong with us.

Website: https://www.antidotehealth.ai/