{"id":2729589,"url":"https://alion.io/job/algoteque-innovation-hub-spark-data-lakehouse-developer","title":"Spark / Data Lakehouse Developer","company":{"id":3947819,"name":"ALGOTEQUE Innovation Hub","domain":"algoteque.com","url":"https://alion.io/company/algoteque-innovation-hub","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":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Wrocław, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":94000,"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":"Apache Iceberg","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Grafana","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"Kanban","optional":false},{"name":"Prometheus","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-16T14:42:45Z","employer_posted_date":null,"last_verified_at":"2026-10-16T14:42:45Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"ALGOTEQUE to firma doradcza IT, która wspiera startupy, średnie i duże przedsiębiorstwa w tworzeniu i wdrażaniu innowacyjnych technologii. Nasz zespół ma udokumentowane sukcesy w projektowaniu, rozwijaniu, wdrażaniu i integracji rozwiązań programistycznych (AI, ML, BI, Web, Automatyzacja) dla branż takich jak telekomunikacja, energetyka, bankowość, ubezpieczenia, farmacja, motoryzacja, przemysł oraz e-commerce. Świadczymy nasze usługi zarówno w modelu fixed-price, jak i time-and-materials, pomagając naszym klientom w osiąganiu ich celów biznesowych i strategii IT.\nDla naszego Klienta poszukujemy doświadczonego Spark / Data Lakehouse Developera do projektu związanego z budową i rozwojem rozwiązań Data Lakehouse oraz rekonsyliacją danych w warstwie ODS.\n\nZakres współpracy\n- Projektowanie i implementacja procesów rekonsyliacji danych z wykorzystaniem Spark-SQL / PySpark.\n- Porównywanie danych z MongoDB z systemami źródłowymi oraz budowanie reguł jakości danych.\n- Integracja Spark z MongoDB i optymalizacja procesów odczytu/zapisu.\n- Budowa i rozwój warstw Raw/Bronze/Silver/Gold w architekturze Data Lakehouse.\n- Praca z Apache Iceberg oraz wersjonowaniem i migracją danych.\n- Optymalizacja wydajności i kosztów przetwarzania danych w Spark.\n- Konfiguracja monitoringu i observability procesów danych.\n- Automatyzacja deploymentów Spark oraz wsparcie procesów CI/CD.\n- Diagnozowanie 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