{"data":{"id":112546,"slug":"data-engineer-27","type":"job","title":"Data Engineer","description":"Data preparation and analysis using Big Data technologies (Cloudera, Impala, Hive, Spark, Kafka, MinIO, SuperSet, etc.).\n\u00b7 Application of Big Data technologies (Cloudera, Spark, Databricks, Snowflake, etc.) and cloud services (Azure, AWS, GCP).\n\u00b7 Creating data structures, implementing data transfers, and collaborating on data integrations.\n\u00b7 Preparing data analyses and working with metadata (modeling and technical design) - SQL, NoSQL databases.\n\u00b7 Building data processing pipelines, deploying them to production, creating and monitoring reports.\n\u00b7 Contributing to data integration deliverables (data to and from analytical platforms and data systems - on-prem or cloud).\n\u00b7 Programming parallel and scalable applications for processing data structures.\n\u00b7 DevOps - code development, programming and debugging, deployment and code maintenance.\n\u00b7 Supporting deployment of various applications and tools.\n\u00b7 Implementing tasks across various economic sectors (banking, telco, manufacturing, retail, utilities, R&D, etc.).\n\u00b7 As opportunities arise, working on infrastructure and admin tasks focused on Cloudera\/BD\/cloud and integration of new components.\n\u00b7 Contributing to tasks focused on real-time data processing and visualization. Collaborating on the creation of data catalogs, data dictionaries, or metadata descriptions.\n\u00b7 Collaborating on the creation of data marts and data layers.\n\u00b7 Assisting with the preparation of customer presentations, primarily visualizing analysis outputs and interpreting findings.\n\u00b7 Supporting pre-sales activities.\n\u00b7 Tracking and studying new trends in clouds and Big Data.\n\u00b7 Sharing experiences and work results within the team. Later preparing training and workshops for customers and colleagues.\n\nMeal allowance","language":"cs","is_translated":true,"title_original":"Data Engineer","description_original":"P\u0159\u00edprava a anal\u00fdza dat s vyu\u017eit\u00edm technologi\u00ed Big Data (Cloudera, Impala, Hive, Spark, Kafka, MinIO, SuperSet, apod.).\n\u00b7 Aplikace technologi\u00ed Big Data (Cloudera, Spark, Databricks, Snowflake atd.) a cloudov\u00fdch slu\u017eeb (Azure, AWS, GCP).\n\u00b7 Vytv\u00e1\u0159en\u00ed datov\u00fdch struktur, realizace datov\u00fdch p\u0159enos\u016f a spolupr\u00e1ce na datov\u00fdch integrac\u00edch.\n\u00b7 P\u0159\u00edprava datov\u00fdch anal\u00fdz a pr\u00e1ce s metadaty (modelov\u00e1n\u00ed a technick\u00fd design) - SQL, NoSQL datab\u00e1ze.\n\u00b7 Tvorba pipelin pro data processing, jejich nasazov\u00e1n\u00ed do produkce, tvorba a sledov\u00e1n\u00ed report\u016f.\n\u00b7 Pod\u00edl na dod\u00e1vk\u00e1ch datov\u00fdch integrac\u00ed (dat do a z analytick\u00fdch platforem a datov\u00fdch syst\u00e9m\u016f - on-prem \u010di cloud).\n\u00b7 Programov\u00e1n\u00ed paraleln\u00edch a \u0161k\u00e1lovateln\u00fdch aplikac\u00ed pro zpracov\u00e1n\u00ed datov\u00fdch struktur.\n\u00b7 DevOps - v\u00fdvoj k\u00f3du, programov\u00e1n\u00ed a debugging, nasazen\u00ed a p\u00e9\u010de o k\u00f3d.\n\u00b7 Podpora nasazov\u00e1n\u00ed r\u016fzn\u00fdch aplikac\u00ed a n\u00e1stroj\u016f.\n\u00b7 Realizace \u00faloh v r\u016fzn\u00fdch odv\u011btv\u00edch ekonomiky (bankovnictv\u00ed, telco, v\u00fdroba, retail, utility, R&D, \u2026).\n\u00b7 Dle p\u0159\u00edle\u017eitosti pr\u00e1ce na infrastrukturn\u00edch a admin \u00faloh\u00e1ch se zam\u011b\u0159en\u00edm na Cloudera\/BD\/cloud a zapojen\u00ed nov\u00fdch komponent.\n\u00b7 Pod\u00edl na \u00faloh\u00e1ch zam\u011b\u0159en\u00fdch na real-time zpracov\u00e1n\u00ed a vizualizaci dat. Spolupr\u00e1ce p\u0159i tvorb\u011b datov\u00e9ho katalogu, datov\u00e9ho slovn\u00edku \u010di metadatov\u00fdch popis\u016f.\n\u00b7 Spolupr\u00e1ce p\u0159i tvorb\u011b datov\u00fdch mart\u016f a datov\u00fdch vrstev.\n\u00b7 Asistence s p\u0159\u00edpravou prezentac\u00ed pro z\u00e1kazn\u00edka, p\u0159edev\u0161\u00edm vizualizace v\u00fdstup\u016f anal\u00fdz a interpretac\u00ed zji\u0161t\u011bn\u00ed.\n\u00b7 Podpora presalov\u00fdch aktivit.\n\u00b7 Sledov\u00e1n\u00ed a studium nov\u00fdch trend\u016f v cloudech a Big Data.\n\u00b7 Sd\u00edlen\u00ed zku\u0161enost\u00ed a v\u00fdsledk\u016f pr\u00e1ce v r\u00e1mci t\u00fdmu. Pozd\u011bj\u0161\u00ed p\u0159\u00edprava \u0161kolen\u00ed a workshop\u016f pro z\u00e1kazn\u00edky a pro kolegy.   \n\nP\u0159\u00edsp\u011bvek na stravov\u00e1n\u00ed","price":"45000.00","currency":"CZK","status":"active","noindex":true,"location":{"address":null,"full_address":null,"city":"Praha","country":"CZ","latitude":50.1029026,"longitude":14.3946353},"metadata":{"shift":"Pru\u017en\u00e1 pracovn\u00ed doba","region":"Hlavn\u00ed m\u011bsto Praha","employer":"ADASTRA, s.r.o.","positions":1,"profession":"Data Engineer","start_date":"2026-07-07","salary_from":45000,"salary_unit":"K\u010d\/m\u011bs\u00edc","employer_ico":"26202981","suitable_for":["Vhodn\u00e9 pro cizince mimo EU","Zam\u011bstnaneck\u00e1 karta"],"min_education":"\u00daSV s maturitou","contact_person":"Lucie Loskotov\u00e1","employment_type":"full_time","employment_types":["Pracovn\u00ed pom\u011br \u2013 pln\u00fd \u00favazek"],"reference_number":"33410640716"},"user_id":null,"is_sponsored":false,"views_count":5,"ai_views_count":14,"bot_views_count":1,"ai_vendor_counts":{"meta":3,"other":2,"openai":5,"anthropic":4},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"lucie.loskotova@adastragrp.com","images":[],"published_at":"2026-07-07T00:00:00+00:00","expires_at":null,"created_at":"2026-07-10T02:03:46+00:00","updated_at":"2026-09-20T02:20:26+00:00"}}