sharing the costs of sports activities
Pracodawca zakończył zbieranie zgłoszeń na tę ofertę
Lead GCP Data Engineer/Consultant
Capgemini Polska
Katowice
Katowice, Silesian- offer expired 3 months ago
- contract of employment
- full-time
- manager / supervisor
- hybrid work
- Immediate employment
- remote recruitment
- запрошуємо працівників з України
Запрошуємо працівників з України
Роботодавець відкритий для працевлаштування громадян України
Technologies we use
Expected
Big Data
Cloud
DevOps
GCP
GKE
Pub/Sub
Dataproc
Scala
Python
Java
BigQuery
About the project
Capgemini FS - Business Unit (FinTech) is hiring!
Insights & Data practice delivers cutting-edge data centric solutions.
Most of our projects are Cloud & Big Data engineering. We develop solutions to process large, also unstructured, datasets, with dedicated Cloud Data services on AWS, Azure or GCP.
We are responsible for full SDLC of the solution: apart from using data processing tools (e.g., ETL), we code a lot in Python, Scala or Java and use DevOps tools and best practices. The data is either exposed to downstream systems via API, outbound interfaces or visualized on reports and dashboards.
Within our AI CoE we deliver Data Science and Machine Learning projects with focus on NLP, Anomaly Detection and Computer Vision.
Additionally, we are exploring the area of Quantum Computing, searching for practical growth opportunities for both us and our clients.
Currently, over 250 of our Data Architects, Engineers and Scientists work on exciting projects for over 30 clients from different sectors (Financial Services, Logistics, Automotive, Telco and others)
Come on Board! :)
Your responsibilities
You will design and implement solutions to process large and unstructured datasets (Data Lake Architecture, Streaming Architecture),
you will implement, optimize and test modern DWH/Big Data solutions based on Google Cloud Platform and Continuous Delivery/Continuous Integration environment,
you will be responsible for data processing efficiency improvement and for migrations from on-prem to public cloud platforms,
you will be building and supervising an internal GCP development and training program as well as leading workshops and mentoring sessions.
Our requirements
you have at least 5 years of experience in Big Data or Cloud projects in the areas of processing and visualization of large and unstructured datasets (in different phases of Software Development Life Cycle)
you have practical knowledge of GCP in Storage, Compute (+Serverless), Networking and DevOps areas supported by commercial project work experience;
you are familiar with several of the following services: BigQuery, Dataflow, GKE, Cloud Bigtable, Pub/Sub, Dataproc, Google Data Studio;
you have good knowledge of one of programming languages: Scala (preferred), Python or Java
you are organized, independent, willing to share the knowledge;
you have very good command of English.
What we offer
permanent employment contract from the first day,
hybrid, flexible working model,
possibility of using increased tax-deductible costs in the case of creative work,
co-financing to equip a workplace at home,
development opportunities:
substantive support from project leaders,
a wide range of internal and external trainings (technical, language, leadership),
certification support in various areas,
mentoring and a real impact on shaping your career path,
access to a database of over 2,000 training courses on Pluralsight, Coursera, Harvard platforms,
internal communities (including Agile, IoT, Digital, Security, Women@Capgemini),
the opportunity to participate in conferences both as a listener and an expert;
relocation package;
benefits as part of the social package (including Multisport card, medical care for the whole family, group insurance on preferential terms, cafeteria).
Benefits
private medical care
sharing the costs of professional training & courses
life insurance
remote work opportunities
integration events
corporate library
employee referral program
Capgemini Polska
Capgemini is active in the area of insight & data, social and digital marketing in close collaboration with its clients.
The specialist will be responsible for the analysis of a wide range of data to support the marketing, brand, and business strategy functions. The ideal candidate can use a wide range of analytical solutions and is at ease both with data coming from social media and search, and with more traditional data, such as penetration and brand equity.