Data Engineer - Dressly in SKELAR

SKELAR is a Ukrainian venture builder that builds international tech businesses. Together with the co-founders, we gather strong teams to win in global markets.

Today, SKELAR has a dozen businesses in various niches — from EdTech to marketplaces. These are companies that are included in the rankings of the TOP startups and product companies of Ukraine, occupy the highest positions in the AppStore and develop platforms that are used by millions of people. TechCrunch, Wired and other global media also write about SKELAR businesses.

We are proud of a strong team of 1000+ specialists who have cool expertise and ambitious goals. Our people are the most valuable asset of the company, so we choose to build businesses together with the best talents on the market.

Dressly is a business changing the fashion industry through AI technologies and a personalized approach.

We create personalized fashion solutions that help people be themselves and not be afraid to express themselves.

Now we are looking for Data Engineer to Dressly!

Joining the team now means:

— Full responsibility for the analytical layer of data in Google Cloud at the stage of active scaling of the company and a real impact on product development;

—The opportunity to play a key role in the construction and development of the analytical infrastructure;

— Working with a modern technology stack (BigQuery, dbt, Airflow) and participating in the formation technical standards;

— Close cooperation with product teams and direct impact of solutions on product, marketing and financial performance of the business.

Your area of responsibility will include:

— Ensuring stability, accuracy and availability of data for the entire company;

— Setup, support and optimization of ELT processes (Airbyte);

— Development of new integrations and data quality control for reporting;

— Creating and maintaining analytical models in BigQuery;

— Building monitoring and alerting processes for pipelines;

— Optimizing data aggregations in accordance with business needs in close cooperation with analysts.

What is important to us:

— Experience as a Data Engineer from 3 years;

— SQL: Strong understanding of SQL for working with databases;

— Python: Ability to write efficient and clean code for creating custom AirByte connectors and configuring DAG-pipelines in AirFlow;

— Understanding of DE concepts: Basic knowledge of Data Modeling, Data Patterns, and the architecture of analytical stores (e.g., BigQuery);

— Understanding of the principles of Docker and Kubernetes;

— Understanding of the principles of query optimization (partitioning, clustering, cost optimization).

In addition to businesses, we are developing the SKELAR foundation, a charity created by the company's employees. Within the framework of the initiative, we create and finance projects that contribute to overcoming the consequences of the war and rebuilding Ukraine.

SKELAR is an environment for self-realization of people who are able to create successful companies. We call such companies the next big everything. We believe in their power and scale.

We plan to further develop product IT businesses, conquer the globeopen markets and work for the victory of Ukraine

For this, we have created all the opportunities within our venture builder:
— 8 teams of SKELAR Platform, which ensures the operational efficiency of businesses: from recruiting and technical equipment to financial and legal architecture

Let's build the next big everything together!