Position: Data Engineer
Company: Digicode
Category: Data Science
Experience required: 3y
English level: upper

**Your profile:** 
– At least 3 years of experience in managing ETL & BI processes and production analytics data store
– Experience with building big data and ETL tools and data lakes (from MySQL to Big query or Snowflake)
– Experience with creating optimized structures\tables on top of application and 3rd party structures\tables
– Experience in getting 3rd party data to the internal company data lake (e.g. google analytics, tags manager, mixpanel, salesforce, zendesk etc.)
– Experience with relational SQL and NoSQL databases
– Experience in working and connecting to data visualization tools (AWS Quicksight, looker, tableau etc.)
– Understanding of Jenkins & CI/CD concepts in production environment
– Experience in working with financial systems - an advantage
– Ability to work in an agile, dynamic, rapid environment with constant changing priorities.
– Ability to work independently. A self starter with constant hunger to improve, research and learn.
– Team player with true passion, creativity and motivation for backend and complex processes. 
– Excellent interpersonal and communication skills (also in English at a high level).
– Knowledge in cloud environments (AWS an advantage)

**A few words about the project:**
The project that you will be working on is a wellness app that encourages employees to take time off. The project has web platform working as an admin panel for companies and mobile app for employees.
This tool uses personalized, curated micro-vacations to encourage, legitimize and incentivize employee time off.

**What you will be doing:**
– Create, maintain and own the core company data pipeline, responsible for scaling up data processing flow to meet the rapid data growth
– Consistently evolve data model & data schema based on business and engineering needs
– Implement systems tracking data quality and consistency
– Develop tools supporting self-service data pipeline management (ETL)
– Work with stakeholders including Product, Data analytics, R&D teams to assist with data-related technical issues and support their data infrastructure needs.
– Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

**We offer:**
– Professional and personal development
– Comfortable working environment
– 18+ working days paid vacation
– Paid sick leaves
– Medical insurance for employees, for children of employees
– Language classes
– Subscription for pool and gym
– Compensation of visiting professional conferences


**Did we catch your attention? We'd love to hear from you.**