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.
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We are currently looking for:
BigData Application Engineer (Azure Cloud)
Job location: hybrid (Warsaw) or remote (Poland)
The person in this position will be responsible for developing, improving and maintaining the data ingestion and applications in environments based on Azure Cloud components. Working for us, you will be the part of Advanced Analytics Apps Big Data Team located in Poland, focused on the newest technologies, providing services to international client and business users from across the globe.
We are looking for juniors/specialists and experts.
The Main Tasks Will Be
- Using the latest technologies ensure successful data delivery form external sources on the Microsoft Azure, making them available for customer’s data scientist and analytics.
- Adapt applications to changing customer expectations and changes on the part of data providers.
- Continuously improving application effectiveness and implement cost cutting solutions
- Taking needed actions on occurring events disruptive expecting results and planned processes.
- Cooperating with multiple international and multicultural teams delivering data and microservices
We Require
- High analytical skills and abstract thinking
- Strong SQL, Python and databases technologies
Experience with:
- Spark and clusters computation
- Orchestration and job scheduling
- Relational and No-relational databases
- Linux
- Code versioning and CI/CD systems
- Containerization – locally hosted and/or clustered
Familiar with:
- Data transfer schemes and protocols
- Data file formats
- Good command of English and Polish
- Tech stack: Azure, SQL, Python, Databricks, Airflow, Linux, GitHub, Docker, Kubernetes, Data File Formats
We Appreciate
- Fascination with cloud technologies
- Eagerness to learn and practice new areas independently
- Other IT experiences not only related strictly to data
- Machine Learning implementation and productionalization
- Datapipe setup
- Application operationalization
- Familiar with any of our technology stack: API, Azure Data Factory, Azure DevOps, Azure SQL Databases, CI/CD, Cloud Storages, Crontab, Data Lake Storage, Databricks, Docker, GitHub, Jira / Confluence, Kubernetes, Scala, Transfer Service
We Offer
We offer a steady job in an international company in the heavily invested area, where you will encounter multiple opportunities to cooperate with inspiring people from across the world. A place where you can learn, work with experts, share your knowledge and enjoy many social activities and events prepared for our Employees.
- Full-time employment contract
- Numerous opportunities for personal and professional development and advancement within the company by taking part in interesting and challenging projects
- Modern and friendly work environment with an open-door policy
- Flexibility in work arrangement (home-office culture & flexible working hours are in our DNA)
- Professional technical and soft skill training programs (internal DXC University, DXC Partners Network and certification program), opportunity to learn and evolve within a team of experienced colleagues
- Private medical care, social benefits system, life insurance, Multisport+ card, Wellness Program (massages included), German language classes, relax corner (XBOX games and other), sport communities
- Employee Assistance Program (providing help for employees in difficult life situations)
- Competitive compensation package adjusted to candidate’s experience and qualifications
Send us your CV. We are looking forward to meeting you!
CI/CD API Scala Python Apache Spark Azure Linux Big data Docker GitHub SQL Airflow Kubernetes