We are looking for a Data Engineer to join our single full-stack data team of Big data products.
The role requires a strong set of soft skills and the ability to independently solve data-related challenges. We expect solid knowledge of SQL, Python, and an understanding of Cloud-based data pipeline architecture. Most of your work will be with SQL, and occasionally with Python. You will work with the Google Cloud Platform and Apache Airflow to deploy changes. No data parsing from sites — just straightforward work with data pipelines received from trackers, partners, analytics tools, etc. You will be supported by the team lead, and over time, you will become the king of the company’s data pipelines.
Requirements * 2-4 years of experience in SQL and Python programming; * Experience with containerization and orchestration tools such as Docker and Kubernetes; * Practical skills in using Cloud tools; * Practical skills in working with analytical databases like Hadoop variations, Google BigQuery, Snowflake; * Level of English B1+.
Responsibilities * Design and implement efficient data pipelines to support data-driven decision-making and business intelligence processes; * Develop and maintain custom dashboards using data from company databases to visualize key performance metrics; * Build the data models that the whole company will use; * Normalize, denormalize, and aggregate data from different sources into scalable datamarts; * Maintaining existing data pipelines and datasets; * Investigate what’s wrong with some pieces of data and fix the problems; * Deploy changes, fixes, and new features to Cloud services and internal tools.
Would be a plus * Practical experience in Apache Airflow; * Experience with Google Cloud Platform and its components like BigQuery, App Engine, Cloud Run, Pub/Sub, Logs; * Experience with web technologies such as Header of requests and URL structure; * Domain knowledge of buying or/and selling traffic; * Basic experience in Machine Learning; * Basic experience with BI Tools like Tableau, Power BI, Google Looker.
Work conditions
Competitive salary Fully remote work format Flexible schedule 15 paid vacation days + 5 paid sick leave days Corporate English lessons Opportunities for professional growth and development ⚡ Minimal bureaucracy and fast decision-making Cooperation in the format of Private Entrepreneur (FOP)
