Azure/AWS/Databricks Data Engineer at DXC Technology

, , Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Factory, AWS Glue, Databricks, Apache Spark, SQL, Python, Data Modelling, Agile, Jira, Confluence, Git, Azure Data Lake, Azure Blob Storage, Azure Synapse Analytics, AWS S3, AWS Kinesis, CI/CD

Industry

IT Services and IT Consulting

Description

Job Description: About DXC Bulgaria We are DXC – a Fortune 500 global IT services leader. In Bulgaria, we are among the largest IT employers, delivering the full spectrum of the company’s diverse technical portfolio. Our teams work across cutting-edge technologies, contributing to projects that span industries and geographies. We foster continuous learning and professional growth, offering access to targeted training and certifications aligned with individual interests and career aspirations. Our culture of collaboration, innovation, and shared values empowers professionals to grow and succeed. About the role Do you have Data engineering experience in Cloud-based platforms? Do you want to develop your skills and gain new ones? If yes, then our Data & AI team in Sofia & Varna is looking for you! At DXC Technology we deliver the mission-critical IT services that move the world. Every day we use the power of technology to build better futures for our customers, colleagues, environment, and communities across the globe. The Azure/AWS/Databricks Data Engineer opportunity is suited for experienced talents with a clear understanding of Data and Cloud technologies who want to further develop in the data engineering area and gain international experience and certifications. You will be a part of our most innovative projects in Retail industry, AI-powered solutions, Data and Analytics. Daily challenges Analyzing, designing and implementing data warehouses, data lakes, data models and data pipelines; Building the code and logic required for optimal ETL (extraction, transformation, and loading) of data from a wide variety of data sources using SQL or programming languages (Spark); Working with Data Platforms on different Cloud providers (AWS, Azure); Building analytics solutions that provide valuable insights for clients and end-users; Work in an Agile Project team with iterative, short-term goals and faster deliverables. eXperience and skills required Azure Data Factory/ AWS Glue; Databricks/Apache Spark; Coding: SQL, Python; Bachelor’s degree in Computer science or equivalent combination of education and experience; Highly motivated, team player, great communicator, interested in Agile Workplace Framework; Project/code management: Jira, Confluence, Git; We will consider as an advantage: Azure: Azure Data Lake/Azure Blob Storage; Azure Synapse Analytics; AWS: AWS S3; AWS Kinesis; Monitoring (Azure Monitor, AppInsights), Security (KeyVault, Azure AD), experi-ence in data modelling; CI/CD tools: ARM templates or Terraform. Company benefits At DXC Technology, we don’t just offer jobs – we build careers. Here’s what you can look forward to when you join us: Enjoy competitive compensation and grow your career in a fast-paced, international environment. Benefit from 24 days of paid vacation to rest, explore, and recharge – plus comprehensive medical and life insurance, and monthly food vouchers to support your lifestyle. Access premium learning platforms, get company-sponsored certifications, and grow your skills with continuous development opportunities tailored to you. Get recognized through our Employee Recognition Program – your contributions deserve the spotlight. Refer great talent through our Employee Referral Program and get rewarded for helping shape our future. Enjoy discounts and special offers with your employee badge – it pays to be part of the team. Access 24/7 support for you and your family, with a wide range of wellbeing resources to help you thrive. Join meaningful initiatives that give back to the community and connect you with like-minded colleagues through fun and impactful experiences. If you feel comfortable with the above-mentioned requirements, please send us your CV in English. Please note only shortlisted candidates will be contacted. DXC Technology stands for equal opportunities, namely, we do not discriminate on the basis of race, religion, color, sex, age, disability, or sexual orientation. All recruitment decisions are based solely on qualifications, skills, knowledge and experience, and relevant business requirements. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here. DXC Technology (NYSE: DXC) helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds. The world's largest companies and public sector organizations trust DXC to deploy services to drive new levels of performance, competitiveness, and customer experience across their IT estates. Learn more about how we deliver excellence for our customers and colleagues at DXC.com.

Responsibilities

The role involves analyzing, designing, and implementing data warehouses, data lakes, data models, and data pipelines. Additionally, the engineer will build code for optimal ETL processes and work with various cloud data platforms.