Time zones: SBT (UTC +11), GMT (UTC +0), CET (UTC +1), EET (UTC +2), MSK (UTC +3)About the RoleAs a Data Engineer, youll play a key part in building and maintaining the platform that powers our products. By collaborating with backend engineers, data analysts, and other engineers, youll build and own new features, modules, and extensions of our systems. Were seeking an action-oriented and collaborative problem solver who thrives in ambiguity and can take on new challenges with optimism in a fast-paced environment. We value team members who are not only skilled in their area of expertise but are also perpetual learners who are committed to growth and contributing to our collective success.In this role, you will:Craft high-quality code for scale, availability, and performanceDesign, develop, and maintain scalable data pipelines and processes to extract, process, and transform large volumes of data, both real-time and batched (ELT/ETL)Build and maintain integrations with data providers using various data transfer protocolsDrive engineering projects from start to finish with a high level of ownership and autonomyEnsure the quality of our products and data through both manual and automated testing, as well as code reviewsWere looking for someone with:8+ years of software engineering experience with an emphasis on Data EngineeringBachelors degree or higher in Computer Science or related technical discipline (or equivalent experience)Advanced experience with complex SQL queries and database/lakehouse technologies such as Redshift, Apache Iceberg and PostgresDeep experience with big data technologies and frameworks such as Apache Spark, DBT, as well as data quality tools, like DBT (test)Familiarity with cloud platforms like AWS, GCP, or Azure, and common data-related services (e.g. S3, Redshift, EMR, Glue, Kinesis, Athena)A bias for action, where no task is too small, and an eagerness to learn and grow with our industryNice to have:Experience with real-time streaming frameworks like Apache KafkaExperience with Great Expectations and/or SodaComfort and/or past experience working and managing big data and ELT pipelinesComfort and/or past experience working with Temporal, Apache Airflow or similar orchestration toolsExperience working in high-growth, venture-backed startup(s) Related Jobs See more DevOps and Sysadmin jobs