{"id":2124006,"url":"https://alion.io/job/upvanta-data-platform-developer-analyst","title":"Data Platform Developer-Analyst","company":{"id":1332,"name":"Upvanta","domain":"upvanta.com","url":"https://alion.io/company/upvanta-sp-z-o-o","size_band":"51-200","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_city","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Wrocław, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":93000,"period":"year","method":"role_country_seniority_unknown","sample_n":361},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Confluence","optional":false},{"name":"Dynatrace","optional":false},{"name":"Grafana","optional":false},{"name":"GraphQL","optional":false},{"name":"Jira","optional":false},{"name":"Kanban","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Scrum","optional":false},{"name":"Spring Boot","optional":false},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-10-06T13:05:07Z","employer_posted_date":null,"last_verified_at":"2026-10-06T13:05:07Z","board_verified":false,"closed_at":null,"days_open":10,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":10},"description":"Do zespołu Data Platform poszukujemy programisty-analityka, który nie tylko będzie budował nowoczesne rozwiązania oparte na Apache Kafka, Kafka Connect, Spring Boot, MongoDB, GraphQL i Apache Iceberg, ale także będzie odpowiedzialny za analizę wymagań biznesowych oraz mapowanie danych pomiędzy systemami źródłowymi, platformą streamingową i bazą ODS opartą o MongoDB i usługi graphQL. Idealny kandydat potrafi rozmawiać z interesariuszami, przekształcać ich potrzeby w techniczne specyfikacje oraz implementować je.\nZakres obowiązków \nSpotkania z analitykami i zespołami IT w celu zrozumienia procesów\n\nAnaliza wymagań i projektowanie\n\nMapowanie danych\n\nImplementacja usług\n\nIntegracja danych (Kafka Connect) biznesowych i danych.\n\nTworzenie dokumentacji funkcyjnej (use-case, user-story) oraz technicznej (diagramy danych, mapowanie pól).\n\nProjektowanie topików Kafka (naming, partycjonowanie, schematy Avro).\n\nDefiniowanie struktur kolekcji w MongoDB oraz modeli w GraphQL i tabel Iceberg.\n\nBudowa mikroserwisów Spring Boot (producent/konsument, stream processing).\n\nImplementacja warstwy GraphQL (schematy, resolvery) udostępniającej dane z MongoDB.\n\nKonfiguracja i rozwój konektorów Kafka Connect.\n\nTworzenie własnych Single Message Transforms (SMT) i konwerterów w celu dopasowania formatów danych.\n\nMonitoring & observability\nWsparcie operacyjne\n\nWspółpraca i mentoring\n\nImplementacja metryk (Prometheus, Grafana), logowania (Vector, ELK)oraz śledzenia (OpenTelemetry, Dynatrace) dla przepływu zdarzeń.\n\nDiagnozowanie problemów z replikacją, opóźnieniami i niezgodnościami danych.\n\nOptymalizacja konfiguracji Kafki, MongoDB i Iceberg pod kątem wydajności oraz kosztów.\n\nPraca w zespole Agile (Scrum/Kanban) razem z Data Engineerami,\n\nDevOpsami, analitykami i testerami.\n\nDzielenie się wiedzą – warsztaty, dokumentacja, code-review.\n\nWymagania techniczne \nMinimum 4 lata doświadczenia w środowiskach produkcyjnych;\nApache Kafka\n\nznajomość brokerów, topic-ów, partycjonowania, schematów, replikacji.\n\nBiegła znajomość Kafka Streams, kSQL.\n\nKafka Connect Konfiguracja i rozwój konektorów (gotowe i własne).\n\nKategoria\n\nSpring Boot\n\nBiegłość w Javie oraz frameworku Spring (Boot, Cloud, Security, Data).\n\nMongoDB \n\nProjektowanie schematów dokumentowych, indeksowanie, optymalizacja zapytań.\n\nGraphQL 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