Position: Data Engineer
Company: Boosty Labs
Experience required: 3y
English level: intermediate

We are looking for Data Engineer to work with our platform for virtual, in-person, and hybrid events.

What we are waiting from you:
 - Knowledge of Python language for data manipulation and building data pipelines.
 - Experience with cloud data warehouses BigQuery/Redshift/Snowflake and data storage GCS/S3.
 - Hands-on experience with data pipeline & orchestration tools like Airflow/Prefect, dbt, or others.
 - Understanding of data integration tools, hands-on experience implementing ETL/ELT processes, data formatting, and warehouse architecture.
 - Experience working with databases and complex SQL procedures.
 - Strong data architecture and modeling skills.
 - Understanding of business logic processes and insight delivery strategies.
 - Strong analytical thinker with the ability to understand data and present a path to deliver usable information
 - Ability to work independently while also being able to work within a cross-functional team.
 - Ability to manage multiple projects and re-prioritize as necessary to meet key deadlines.
 - Self-learning with strong communication and presentation skills.

Will be a plus:
 - Hands-on experience with dashboarding & reporting tools such as Tableau/Looker/PowerBI or other data visualization tools. (Preference to Looker)
 - Experience with 24/7 production systems and real-time analytics
 - Experience in a B2B SaaS company

What will you do:
 - Develop new infrastructure solutions for the big-data pipelines
 - Facilitate organizational strategies for data governance, integration, and usage
 - Design and develop complex data models, working with DAGs, REST API
 - Build and launch new data extraction, transformation, and loading processes in production.
 - Develop policies and procedures for the collection and analysis of data
 - Ensure integrity of data collection and utilization
 - Build and maintain process automation and integration flows
 - Articulately and concisely explain the implications of complex data
 - Understand business questions and transform them into actionable insights
 - Maintain and optimize our data tables and queries

What we offer:
Competitive salary
Modern office near the city center
Informal and friendly atmosphere
The ability to focus on your work: a lack of bureaucracy and micromanagement
Flexible working hours
Ability to combine remote and work in the office
Paid vacation and sick leaves
English speaking club with native speaker