— A self-starting, curious data professional with 4+ years of experience
— Expert in SQL, adept in Python
— Proficient in Google Cloud Platform
— Experienced working on relational databases (eg. PostgreSQL, Redshift)
— A strong communicator and team player
— Familiar with ETL frameworks (eg. Airflow, Stitch) and/or tools (eg. Jitterbit, dbt)
— Not afraid to roll up your sleeves and tackle challenging data problems

— Looker (which I’m guessing is why you’re here!)
— High-growth startups

— Modern working place (27″ iMac or MacBook or other preferred hardware);
— Cozy office in the very center of the city (near Opera house);
— Flexible working hours;
— Possibility of partly remote work;
— Regular performance reviews;
— 20 working days of paid vacation annually;
— Additional vacation days for special lifetime events;
— 10 working days of paid sick-leaves;
— Medical insurance;
— Maternity leave policy;
— Free English classes;
— Compensation of educational and training programs;
— Team buildings and corporate events.

— Build and maintain data pipelines between 1st- and 3rd-party products and the data warehouse used for company-wide analytics
— Collaborate with all teams across the company to ingest data and apply appropriate business logic
— Administer and optimize Bigquery databases, data model
— Work on a globally distributed data team in New York, Lagos and Nairobi
— Be a member of an agile data team making a large impact on project strategy