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We process enterprise-scale data and serve multiple internal teams across the company.\nIn this role, you'll have the opportunity to:\nWork with modern data stack and AI tools to build complex solutions\n\nDesign solutions to technical challenges and influence platform architecture\n\nResearch, develop and integrate new data processing tools and technologies\n\nKey responsibilities:\nBuild business-critical, robust and self-service data products using Apache Spark, Kafka, Delta Lake and other big data technologies\n\nEnsure pipeline performance and data quality through scalable architecture and optimization\n\nRefine data solutions as business requirements and technical constraints evolve\n\nCollaborate with teams to understand data needs and support adoption of data products across the company\n\nRequired Experience:\n5+ years of software engineering experience with expertise in development, deployment, and integration\n\nProficiency in at least one high-level programming language 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Debezium\n\nFamiliarity with Clickhouse\n\nFamiliarity with data quality validation frameworks for data pipelines\n\nFamiliarity with Data Lineage\n\nFamiliarity with low-latency NoSQL datastores (such as HBase, Cassandra, MongoDB), Relational databases (such as MySQL, Postgres) and Search systems (such as ElasticSearch, Solr)\n\nMasters, PhD, or equivalent experience in Software Engineering, Mathematics or Computer Science\n\nOur Benefits:\nPrivate health insurance\n\nSports benefits\n\nComprehensive Mental Health Program\n\nFree English lessons (online)\n\nLocal language courses\n\nPaid time off\n\nMaternity leave support\n\nReferral program rewards\n\nUpskilling, internal workshops, and participation in professional conferences and corporate 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