Data Engineer
November 27
Description
• Support and enhance existing business processes in marketing and payment domains. • Create, maintain, and update documentation to ensure clarity and consistency. • Collect, process, and analyze data from RESTful APIs and OLTP systems to drive insights. • Develop and implement new business processes to improve efficiency and outcomes in analytical domains.
Requirements
• 1+ years of experience working with data; • Proficient in Python for ETL/ELT processes (Airflow, PySpark, or similar); • Strong SQL knowledge (Postgres or similar); • Experience working with RESTful APIs; • Familiar with analytical database architectures (Kimball, Inmon, Data Vault, Medallion); • Experience with cloud-native analytical databases (Redshift or similar); • Hands-on experience in cloud environments (AWS or similar); • Worked with big data storage/processing tools (AWS MWAA, AWS Glue, Redshift); • Familiar with orchestration tools (Apache Airflow or similar).
Benefits
• Benefit from the flexibility to work from anywhere in the world; • Enjoy 20 annual vacation days and unlimited sick leave, all covered by the company; • Stay healthy with access to a corporate doctor online, and health insurance options in Ukraine or a fixed amount towards insurance abroad after your probation period; • Keep learning with our extensive corporate library, internal online meetings, and lectures; • Grow your skills with our training compensation program; • Take advantage of our supportive corporate culture, including assistance with relocation, advice on legal stay abroad, housing support, and help for third-country nationals; • Have fun with our online events and team-building activities!
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