Position: Data Engineer/Python
Company: Kevych Solutions
Experience required: 2y
English level: upper

Requirements/tech stack:
- 3+ years of commercial experience developing a mobile application 
- Strong experience with backend
- English level - B2
- Knowledge of SQL Databases / NoSQL Databases
- Strive to engineer excellence in every aspect
- Proficiency with Google cloud platform 
- Must have strong coding skills as you'd need to work with multiple programming languages
- Fully dedicated
- Data taxonomy and architecture;
- Data analytics and visualization;
- Data tools and systems;
- Data integrity and security;
- Mobile analytics.

Analytics: DataStudio, BigQuery, Google Analytics, UXcam, Adjust
Marketing automation: Segment, SendGrid, Twilio, Chamaileon
Building data pipelines / ETL and designing dashboards,
In-app analytics and main vendors,
GCP data solutions: Data Studio, BigQuery, Firestore extensions, GA, IAM
setting up and managing customer data platform/marketing automation platforms (e.g. setting up Segment CDP: connecting sources and destination to automate our user engagement strategy)

Responsibilities:
- The role is critical as it helps demonstrate the health and business impact of our platform on our patients and partners.
- Define & implement cost-efficient data analytics pipelines and storage solutions, leveraging Google Cloud Platform data solutions in particular,
- Define data models and consistent naming conventions to ensure maintainability of the solution,
- Define, select and implement our Customer/Patient Data Platform and support marketing/engagement automation through analytics
- Identify data visualization tools & implement dashboards and reports measuring the application's performance and health impact,
- Ensure (re-)deployability of the solution using version control and automation scripts/tools, 
- Collaborate with engineering team (frontend and backend developers) to collect relevant data from the application and determine adequate solutions,
- Ensure data integrity and security by defining relevant user permissions (internal and external users), and not collecting nor exposing unnecessary data.

We offer:
- Opportunity to be part of a rapidly expanding company,
- Work-life balance
- Pleasant and inspiring working atmosphere,
- Regular result-based salary review
- Great working environment and team spirit