sharing the costs of sports activities
51472386
Pracodawca zakończył zbieranie zgłoszeń na tę ofertę
Azure Data Engineer
DXC Technology Polska Sp. z o.o.
Bydgoszcz
Bydgoszcz, Kuyavia-Pomerania- offer expired 4 months ago
- contract of employment
- full-time
- specialist (Mid / Regular)
- home office work, hybrid work
- Immediate employment
- remote recruitment
Technologies we use
Expected
Microsoft Azure
Python
pySpark
SQL
Optional
Hadoop
Apache Spark
Microsoft Power BI
Azure DevOps
About the project
We are establishing a brand new Data Analytics team for a global customer from the retail area.
In essence, the client is leveraging the Azure PaaS platform with all kinds of (business) data to build an advanced analytics platform aiming at delivering better insights and applications to the business.
The platforms are continuously being enhanced to support (additional) CI/CD and validated learning environment for science, machine learning and AI capabilities for all areas customer-facing like digital omnichannel interaction and commerce, commerce relevance, personalisation, loyalty and marketing and non-customer-facing like assortment optimization, supply chain optimization, external parties and IoT.
We will be working on end to end functionality including architecture, data preparation, processing and consumption by systems.
Your responsibilities
As Data Engineer you'll be working alongside data architects to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization. You will be creating the pipeline for data processing, data visualization, and analytics products, including automated services, and APIs.
You will be the go-to person for end-to-end data handling, management and analytics processes.
Ingest data sources into our data management platforms
Structure data into a scalable and easily understood architecture
Work in a multi-disciplined team where you'll turn data discoveries and ideas into models and insights. You'll find how to leverage the data and the models to create and improve products for our customers, in lean development cycles.
Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses;
Maintain a good, current and demonstrable knowledge of adjacent application and market developments both for inspiration and for benchmarking the concepts.
Our requirements
Python/Pyspark
Azure Databricks
Basic knowledge in Azure Data Factory.
SQL
5+ years of industrial experience in the domain of large-scale data management, visualization and analytics
MSc in a computational field or another relevant area
Hands-on experience incl. solid programming to implement pipelines integrating database management systems, cleaning data and improving its data quality
Can Do approach!
Expertise in advanced data modelling
Experience with Microsoft data management tools and the Azure platform environment
Curious, proactive, fast learner able to quickly picking-up new areas
Experience with agile methodologies
Perfect communication skills
Hands-on!
Optional
Working on cloud-based big data solutions using Hadoop/Spark;
SSAS cube development;
Enterprise BI reporting - Power BI;
Azure DevOps - CI/CD
This is how we work on a project
Continuous Deployment
Continuous Integration
What we offer
We offer a job in a heavily invested area, cooperating with inspiring people from across the world. A place where you can learn, work with experts, share your knowledge, have occasions to enjoy many activities suitable for our Employees and their lifestyles.
modern and friendly work environment, independence, and flexible working hours (e.g. possibility of working from home).
full-time employment contract.
package of social benefits, including private medical care, Multisport, sport communities, technical and soft skill training, life insurance and many others.
Employee Assistance Program (providing help for employees in difficult life situations)
opportunity to be a part of a fast-growing, innovative, and high-performing organization within a truly global and multicultural organization.
interesting and challenging projects, clear career progression path, and professional training enabling personal development and growth
professional technical and soft skill training (internal DXC University and certification program), opportunity to learn and evolve within a team of experienced colleagues
training and certifications opportunities provided by our DXC Partners: Microsoft, AWS, Google
Benefits
private medical care
life insurance
remote work opportunities
flexible working time
sharing the costs of tickets to the movies, theater
employee referral program
charity initiatives
family picnics
Multisport Card
Wellness Program
Send us your CV! We are looking forward to speaking to you!
DXC Technology Polska Sp. z o.o.
DXC Technology (NYSE: DXC) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The company’s technology independence, global talent and extensive partner alliance combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. For more information, visit http://www.dxc.technology/.
In Poland, we are located in Warsaw and Wrocław
Analytics Global Delivery Poland, a large, growing delivery center located in Warsaw, offers high-quality Applications/Platforms Development and Management Services to DXC customers all over the world. The Center’s portfolio covers the full software lifecycle, including Business and Systems Analysis, Development, Quality Assurance, Project Management, Testing and Support. The main technology focus is on Cloud, Big Data, Business Intelligence, Web and mobile solutions, ERP and CRM systems. DXC invests in multiple certifications for its employees, both technical (eg. Microsoft Azure, AWS, GCP, Power BI, Tableau, Alteryx, SAP), and managerial (PMP, ITIL).