Middle Data Engineer 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 SaaS. These are the companies that have been awarded by Product Hunt, are included in the rankings of the TOP startups and product companies of Ukraine, occupy the highest ranks 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 800+ specialists who have cool expertise and ambitious goals. Our people are the company's most valuable asset, so we choose to build businesses with the best talent on the market.

We are currently looking for a Middle Data Engineer to our portfolio company TENTENS Tech.

TENTENS Tech is a Ukrainian IT company that develops platforms in the field of streaming and social discovery. The TENTENS Tech team has the experience of successfully launching dozens of platforms that are used by millions of people on all continents of the world (except Antarctica, so far). And the slogan We don't think limits reflects both the company's strategic thinking and the team's motivation to always race far beyond the horizon. We have a powerful analytics team of 20+ employees.

We are looking for: a talented data engineer with a year+ of work experience, who will full-time, together with colleagues, ensure effective collection, storage, processing and further analysis of large volumes of data. You have the opportunity to work with various data sources, offer the best solutions for business needs.

What challenges await you as a Data Engineer:

— Building integrations with 3rd party data sources;

— Cooperation with analysts, DS-specialists and other engineers to build complex data pipelines;

— Optimizing work processes with with data to improve efficiency and productivity;
— Ensuring data quality through testing and validation processes;
— Monitoring and resolving data-related issues to ensure uninterrupted operations.

What is important to us:

— Confident command of SQL and Python;

— Experience with GCP/Azure/AWS;

— Knowledge of relational and NoSQL databases (MySQL/MongoDB);

— Experience in implementation and support of ETL/ELT pipelines;

— Knowledge of Data Modeling concepts;

— Knowledge of Docker, understanding of IaS;

— Accuracy, attention to detail, tolerance for future tasks;
— Ability to work in a team.