DevOps (Python) "K Health"

Data Engineer

What you will do:

Define, innovate Senior Data Engineer and shape the architecture for new data products / features.

Deeply involved in modeling data of new products.

Take part in data engineering vision & roadmap across the Data teams (Data Engineering, Infra and Data Science) - Be the domain expert in our division for Data Engineering solutions & technologies.

Hands-on development of our core Data Infrastructure & tools, to support all data usage across the company, including machine learning research, product analysis, etc.

Lead POC for databases, tools and services that can significantly push the group & division goals.

Create interfaces between different groups within the company in respect to working with data.

Who are you?

Experienced with Python (At least 2 years).

6+ years of experience managing relational databases (MSSQL, Oracle, MySQL, etc.) and non-relational databases (MongoDB, ElasticSearch, Redis, etc.).

Experience with frameworks and methodologies for working with large data sets, such as BigQuery, Apache Spark, and NoSQL databases.

Experience in ETL development (design and implementation).

Experience with public cloud providers.

Experience building systems from the ground up.

Interested in getting into the medical domain and with eagerness to learn.

Team player, that can work with stakeholders in and out of K Health, with high communication skills and proactive attitude.

Attention to detail.

Love working with data.

Bonus points:

Experience with standardized medical data models (SNOMED-CT, LOINC, RxNorm, etc.)

Experience with EMR data.

Experience with graph DBs