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MA?LYS is one of the fastest-growing global D2C startups with a self-built e-commerce platform that allows us to leverage data and optimize marketing funnels to bring clinically tested body care products to women worldwide. With years of rapid growth and millions of customers worldwide. MA?LYS is on track to become one of the biggest body care brands in the world. The company has built a strong tech backbone to leverage its data, collected over the span of dozens of million of $ in online advertising spend. The data analysis and predictive modeling guide the company’s decision making and play a central role in its success, creating a unique competitive edge over the industry and other e-commerce players. We are a team of people who want to make lasting, impactful changes, who live (and love) to see results, who innovate with passion, and who love a good sense of humor. Is our vibe your vibe? We are seeking a highly skilled Data Engineer to join its exceptional Data Team. You will play a crucial role in building the data foundations, which play an essential part in the company's growth engine.
Your life at MA?LYS will look like…
* Developing and maintaining scalable data pipelines and analytics infrastructure
* Build the infrastructure and processes required for optimal extraction, transformation and loading of data from a wide variety of data sources, using Python, Airflow, Rivery and BigQuery.
* Full responsibility for company & data department monitoring, logging and anomalies, support the Data scientists and data analyst’s requirements and needs
* Collaborate with varied teams and departments in order to deliver useful & insightful data products
You will thrive in this role if you have…
* 4+ years of relevant experience as a Data Engineer
* Strong knowledge of SQL.
* Strong knowledge of Python.
* Experience in managing and maintaining cloud resources
* Experience with BI tools (Tableau/Power BI/Looker/Sisense or similar)
* Experience with Data Warehouses
* Experience building ETLs
* Understanding business processes and collecting user requirements Advantages:
* Experience with Airflow
* Experience with GCP and streaming components
* Experience with Power BI