Middle Data Engineer in Veli Technologies Ltd.

VeliTech is a product company, where everyone is passionate about technology and strives to stay ahead of the curve. Our team is fueled by a deep understanding of cutting-edge frameworks, technologies, and continuous learning. This combo brought us success, 35+ million users served with our iGaming products, breakthrough Tech Radar, and a team of 200+ bright minds who made this happen. And this team is ready to welcome you in a world of opportunities to grow and expand your expertise. If this piques your interest, then look no further – this is the perfect opportunity for you! We invite a Middle Data Engineer to join VeliHorizon product team. Horizon is the API-driven, microservices-based platform that takes online casinos, sports betting, and beyond to the next level. Our cutting-edge technology integrates with leading gaming providers for a highly-secured, compliant gaming environment that's designed to meet all clients' needs. Tech stack: Scala 2/3, Typed Akka, ZIO, PostgreSQL, Elasticsearch, Clickhouse, K8s, Kafka, gRPC, AWS In this role, you will: Architect, Design, and implement ETL pipelines for multiple data sources ingesting massive amounts of data daily Develop and maintain new projects and tools around the data warehouse Optimize, improve, and refactor current applications if deemed fit Collaborating with software engineers to capture, format, and prepare data for various purposes Develop and maintain the API interfaces necessary to access the data Skills and experience you will need: At least3+ years of experience as a Data Engineering Proficient with SQL and RDBMS, preferably PostgreSQL Professional experience using Python for data processing purposes, developing backend microservices, RESTful API Experience with Kubernetes Strong data munging/processing skills Experience in understanding Data Warehouse building principles Hand-on experience in designing data pipelines ETL, ELT, exposing processed data to end users Will be a big plus: Experience with Airflow, i.e. creating DAGs, designing and monitoring data pipelines Experience with streaming-based, real-time Data Warehouses, mostly interested in Apache Kafka, Spark or similar Familiar with CI / CD using Jenkins pipelines or similar tools Data synchronization tools/processes between heterogeneous data sources (SQL, NoSQL, DMS, Clickhouse, BigQuery, ElasticSearch etc) Degree in Data Science, Statistics, Applied Math, Econometrics, Computer Science, or other related fields We offer: Health care Medical insurance - full coverage Paid sick days - 10 days Well-being program Well-deserved rest Paid vacation - 20 days Work-from-anywhere opportunities Home Office Mix both options the way you want Learning and Development Possibility to visit conferences and professional events Internal educational programs Lifestyle Product mindset Engineering culture in our DNA T-shaped skill set model