Przegląd Statystyki wynagrodzenia zawód "Big Data Integration Developer w Polsce"

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Kogo szukamy Znajomość minimum jednego z wybranych języków programowania (Python, Java, Groovy, Node.JS, .Net Core, Visual Basic – VBS/VB.NET) Podstawowa znajomość językow znaczników/zapytań i formatów danych: XML, YAML, JSON, WSDL Podstawowa znajomość metod modelowania architektury rozwiązań w oparciu o REST Znajomość jednego z systemów kontroli wersji (preferowany: GIT) znajomość języka SQL i podstaw modelowania danych Umiejętności analityczne Samodzielność i odpowiedzialność. Komunikatywność oraz umiejętność pracy w zespole. Student trzeciego roku studiów licencjackich/inżynierskich i magisterskich oraz absolwenci studiów informatycznychNice to have:Podstawowa znajomość notacji UML Praktyczna znajomość platfomy integracyjnej Anypoint Mulesoft (lub innej, np. TIBCO, WSO2, Boomi)Zrozumienie metodologii Agile, Waterfall Podstawowa wiedza nt. systemów rozproszonych i rozwiązań chmurowych (AWS, Azure, Google i innych) Twoja przyszła rola Wytwarzanie dokumentacji projektowej Czynny udział we wdrożeniach systemów klasy middleware Projektowanie oraz implementacja rozwiązań integracyjnych opartych o API Wsparcie zespołow testerskich w analizie i rozwiązywaniu defektów. Wytwarzanie dokumentacji projektowej To oferujemy W krótkim czasie zdobędziesz kompetencje oraz możliwość certyfikacji, poszukiwane obecnie na rynku pracy pod okiem doświadczonych ekspertów pracujących dla Mulesoft Partner of the Year Poznasz pracę Architekta oraz Developera integracji od podszewki Zobaczysz, jakie są najnowsze trendy i wyzwania w obszarze Integracji Systemów Ścieżka rekrutacji Proces rekrutacji wygląda następująco:1. Wyślij swoje CV! Nasz rekruter zadzwoni do Ciebie, by przeprowadzić rozmowę wstępną (około 30 minut)2. Rozmowa Techniczna (60 minut)3. Finalna rozmowa (45 minut) O Deloitte Deloitte to różnorodność ludzi, doświadczeń, branż i usług, w których je realizujemy - w 150 krajach na świecie. To wyzwania intelektualne, dobry start zawodowy, możliwości ciągłego rozwoju i zebrania cennych życiowych doświadczeń. Musisz zrobić pierwszy krok - postawić kropkę na końcu wysyłanego CV, a potem podpisywanej umowy o pracę. Deloitte to po prostu dobry wybór. I kropka. O zespole Cloud&Engineering Pomagamy naszym klientom uporać się z przejściem z rozwiązań hostowanych w własnym datacenter do rozwiązań opartych o chmurę obliczeniową. Doradzamy w zakresie chmury obliczeniowej w szczególności w zakresie, transformacji organizacji do modelu cloud, migracji systemów do chmury, optymalizacji wykorzystania chmury i rozwoju aplikacji cloud native.Cloud & Engineering | DeloitteCloud Engineering (deloitte.com) #LI-DNI

Your new company For our Client, international company located in Krakow, we are currently looking for Senior Big Data Engineer who will work on reporting application which provides data analytics.Your new role Holding this role you will be responsible for:Creating and maintaining data pipeline architecture and highly performant data stores.Identifying, designing, and implementing internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS ‘big data’ technologies.Building analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.Working with stakeholders including the Engineering, Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Working with data and analytics experts to strive for greater functionality in our data systems.What you'll need to succeed In order to be successful candidate you need to have:Up to five years of proven experience working on data pipeline or big data environments, and an extensive knowledge of data storage methodologies and technologiesExperience in building large highly scalable, distributed systems capable of managing substantial traffic.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Familiarity with processes supporting data transformation, data structures, metadata, dependency and workload management.Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.It would be nice if you have:Experience with big data tools: Flink, Kafka, Spark etc.Experience with analytics datastores including Redis and ClickHouse (OLAP systems).Experience with cloud services: AWS, Kubernetes.Experience with stream-processing systems.Experience with the Scala language.What you'll get in return Our Client offers:Additional benefits such as: private healthcare, insurance, multisport card etc.Full ownership of the projects you work on.Team of passionate people who love what they do.Interesting projects, ability to implement your own ideas and improvements.What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361.

Senior Big Data EngineerKrakówNR REF.: 1185786Your new company For our Client, international company located in Krakow, we are currently looking for Senior Big Data Engineer who will work on reporting application which provides data analytics.Your new role Holding this role you will be responsible for:Creating and maintaining data pipeline architecture and highly performant data stores.Identifying, designing, and implementing internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS ‘big data’ technologies.Building analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.Working with stakeholders including the Engineering, Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Working with data and analytics experts to strive for greater functionality in our data systems.What you39ll need to succeed In order to be successful candidate you need to have:Up to five years of proven experience working on data pipeline or big data environments, and an extensive knowledge of data storage methodologies and technologiesExperience in building large highly scalable, distributed systems capable of managing substantial traffic.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Familiarity with processes supporting data transformation, data structures, metadata, dependency and workload management.Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.It would be nice if you have:Experience with big data tools: Flink, Kafka, Spark etc.Experience with analytics datastores including Redis and ClickHouse (OLAP systems).Experience with cloud services: AWS, Kubernetes.Experience with stream-processing systems.Experience with the Scala language.What you39ll get in return Our Client offers:Additional benefits such as: private healthcare, insurance, multisport card etc.Full ownership of the projects you work on.Team of passionate people who love what they do.Interesting projects, ability to implement your own ideas and improvements.What you need to do now If you39re interested in this role, click 39apply now39 to forward an up-to-date copy of your CV, or call us now.Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361.

We are looking for experienced Big Data Engineer specializing in Scala, Hadoop, and Spark within a large enterprise digital product company. The role involves a mix of technical proficiency, strategic thinking, collaboration, and proactive problem-solving to deliver robust and scalable data solutions.

We are looking for experienced Big Data Engineer specializing in Scala, Hadoop, and Spark within a large enterprise digital product company. The role involves a mix of technical proficiency, strategic thinking, collaboration, and proactive problem-solving to deliver robust and scalable data solutions.

We are looking for experienced Big Data Engineer specializing in Scala, Hadoop, and Spark within a large enterprise digital product company. The role involves a mix of technical proficiency, strategic thinking, collaboration, and proactive problem-solving to deliver robust and scalable data solutions.

For our Client (banking industry) we are looking for experienced Integration Developer (Artificial Intelligence).Location: hybrid model from Cracow or WroclawForm of cooperation: B2B contract via HaysRate: 160-220 pln/h net + vat (depends on experience, negotiable)Team: The Applied AI and ML Team –they provide solutions to help the company embrace Artificial Intelligence and Machine Learning. They work with the divisions and functions of the company to provide innovative solutions that integrate with their existing platforms to provide new and enhanced capabilities.Requirements:“Must have” skills:Python, Pandas, FAST API – minimum 5 years of experienceSQL including creating tables and stored proceduresDevops including GitlabExperience in AI/ML projects“Nice to have” skills:Java, Javascript, TypescriptMicrosoft Purview, Datahub or another data catalog toolData Modelling using Enterprise Architect and/or SHACLDatabricks, Dataiku or Azure Data FactoryMlflowData Science toolklits and libraries such as Kedro, Ray, Rill, DuckDb BackstageResponsibilities:Design, Build and Configure the model inventoryIntegrate the inventory with other tools and data platforms in the firm – these range from standard products such as mlflow, Databricks Unity Catalog through to custom inhouse solutionsWe work in an agile methodology and create appropriate design artifacts as per our inhouse methodologyWe offer:Possibility of remote workWorking in big-scale, international projectMultisport card and Private Healthcare

Integration Developer for AI InventoryKrakówNR REF.: 1186231For our Client (banking industry) we are looking for experienced Integration Developer (Artificial Intelligence).Location: hybrid model from Cracow or WroclawForm of cooperation: B2B contract via HaysRate: 160-220 pln/h net + vat (depends on experience, negotiable)Team: The Applied AI and ML Team –they provide solutions to help the company embrace Artificial Intelligence and Machine Learning. They work with the divisions and functions of the company to provide innovative solutions that integrate with their existing platforms to provide new and enhanced capabilities.Requirements:“Must have” skills:Python, Pandas, FAST API – minimum 5 years of experienceSQL including creating tables and stored proceduresDevops including GitlabExperience in AI/ML projects“Nice to have” skills:Java, Javascript, TypescriptMicrosoft Purview, Datahub or another data catalog toolData Modelling using Enterprise Architect and/or SHACLDatabricks, Dataiku or Azure Data FactoryMlflowData Science toolklits and libraries such as Kedro, Ray, Rill, DuckDb BackstageResponsibilities:Design, Build and Configure the model inventoryIntegrate the inventory with other tools and data platforms in the firm – these range from standard products such as mlflow, Databricks Unity Catalog through to custom inhouse solutionsWe work in an agile methodology and create appropriate design artifacts as per our inhouse methodologyWe offer:Possibility of remote workWorking in big-scale, international projectMultisport card and Private Healthcare

Recruitment process for this position is conducted online.Capgemini Engineeringis a world leader inengineering and R&D services. We combine ourbroad industry knowledgeand cutting-edge technologies in digital and software tosupporttheconvergenceof the physical and digital worlds. Every day, we help our clients to accelerate their journey towardsIntelligent Industry.At Capgemini,we are aresponsibleanddiverse.Our organization has a strong 55-year heritage and deep industry expertise. We aretrustedby our clients to address the entire breadth of their business needs—fromstrategyanddesigntooperations. Our actions are fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.About the project:As a Big Data Engineer, you will work on one of the world's largest social media platform which deals with a few petabytes of data coming to the system daily. You will contribute as part of R&D self-organized team working in a challenging, innovative environment for our client.Investigate, create, and implement the solutions for many technical challenges using cutting edge technologies, including building/enhancing BigData processing platform enabling work of software used by hundreds of millions of users.Your future tasks:Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholdersEnsures that assigned area/areas are delivered within set deadlines and required quality objectivesProvides estimations, agrees task duration with the manager and contributes to project plan of assigned areaEvaluating existing data systemsUpdating and optimizing local and metadata modelsDesign, implement and maintain pipelines that produce business critical data reliably and efficiently using cloud technologyReports about area readiness/quality, and raise red flags in crisis situations which are beyond his/her AOROur Requirements:University degree in Computer Related Sciences or similar2+ years of experience as Big Data EngineerPython coding skillsEstablished big-data systems experience in Hadoop, Spark/SparkSQL, HiveSQLExperience with large-scale graph data storageStrong OOP skillsEffective communication (oral & written), collaboration, and interpersonal skillsNice to have:Experience with Airflow, Apache AtlasExperience with AWSExperience with KafkaExperience with JavaScript and GoWhat have we prepared for you?A lot of benefits:Flexible working hoursEquipment package for home officePrivate medical careandlife insurancewith ability to buy additional packages (e.g., dental care, senior care, oncology) on preferential terms.Access toCapgemini Helplinewith possibility to chat with therapists.Bonusesfor recommending your friends to Capgemini.Access toInspiroapp with richaudiobooksdatabaseAccess to ourNAISbenefit platform (40+ optionsavailable:Netflix,SpotifyMultisport, cinema tickets, etc.)Personal and professional development:70+training trackswithcertificationopportunities (e.g. MS Azure, AWS, Google, Cloud) on ourNEXTtraining platform.Platform with free access toPluralsight,TED TalksCourseramaterials and trainings.Free access toUdemy Businessaccountwith ability to useduring and outside working hours.Transparentperformancemanagement policy.Our legendary atmosphere:We value teamwork and good relationships. We work together, drink coffee together, and form friendships both inside and outside of work.No official dress-code.Variouscommunities: OUTfront, Women@Capgemini, Foreigners Community, and more.Day off for volunteeringAbility toimplementworld-changing initiativesthanks to ourGrantProgramThe award of "Top Employer Poland 2024" and "Top Employer Europe 2024" - proof of our commitment to creating an exceptional work environment and caring for the development of our employees.​​​​​​Who are we?Being one of us meansconstant developmentamong other great people. It's a team who you want to spend time with, during and after work. Trainings and initiatives make your daily tasks more interesting, fun, and unique.Capgemini Engineeringhas 65,000 engineer andscientistteam members in over 30 countries across sectorsincludingAutomotive,AI and Data,Software & Internet,Telecommunication, Rail, Infrastructure and Transportation, Defense, Aeronautics, Energy, Communications, Semiconductor& Electronics, Industrial & Consumer.Join us on a journeytowards Intelligent Industry!It's time to#Get the Future You Want!Your life is in your hands, and you have the opportunity to improve it, develop yourself, and simply—join us :)Do you want to get to know us better? Visit our Capgemini Engineeringwebsite!Do you have any additional questions about working at Capgemini? Check ourInstagram —@capgeminiplor visit ourFacebookprofile—CapgeminiEngineering. You can also find us onTikTok!—@capgeminipl.