Senior Data Engineer/Analyst
Job Summary
Job Description
- 10+ years data engineering/analysis experience
- Azure deployment and management
- Databricks for data processing
- Azure Storage & Data Lake expertise
- Ansible for automation
- Python programming proficiency
- Git/GitLab for version control and CI/CD
- Strong analytical & communication skills
- Agile Framework experience
- Banking/Investment Banking domain experience
10 skills required
Job Details
Project description
Information and Document Systems is a global technology change and delivery organization comprising nearly 200 individuals located mostly in Switzerland, Poland, and Singapore. Providing global capturing and document processing, archiving, and retrieval solutions to all business divisions focusing on supporting Legal, Regulatory, and Operational functions.
Responsibilities
Design, implement, and manage data solutions on Azure
Develop and maintain data pipelines using Databricks
Ensure efficient data storage and retrieval using Azure Storage and Data Lake
Automate infrastructure and application deployments with Ansible
Write clean, maintainable code in Python
Collaborate with team members using Git and GitLab for version control and CI/CD
Gather and document business requirements through stakeholder interviews and workshops
Analyze and translate business needs into technical specifications
Apply data analytics to interpret data and support business decisions
Communicate effectively with stakeholders to manage expectations and provide project updates
Continuously seek opportunities to improve processes and drive efficiency
Share and contribute: Support and guide less senior team members, contribute to team spirit and dynamic growth, actively participate in wider engineering group
and product-wide activities
Skills
Must have
10+ years of data engineering/analysis experience
Degree in Computer Science, Information Technology, or related field
Proficient in deploying and managing services on Microsoft Azure
Hands-on experience with Databricks for data processing and analytics
Understanding of Azure Storage concepts and best practices
Understanding of Microsoft Fabric concepts and best practices
Experience in designing, implementing, and managing data lakes on Azure
Experience in using Ansible for automation and configuration management, with proficiency in YAML
Strong programming skills in Python for data manipulation and automation
Proficient in version control using Git and experience with GitLab for CI/CD pipelines
Excellent verbal and written communication skills to interact with stakeholders and team members
Strong analytical abilities to interpret data and provide actionable insights to support data-driven decision-making
Nice to have
Experience in Agile Framework
Banking / Investment Banking domain experience
Other
Languages
English: C2 Proficient
Seniority
Senior
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About The Company
Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Acquired by U.S. company DXC Technology in 2019, Luxoft is a global operation in 44 cities and 21 countries with an international, agile workforce of nearly 18,000 people. It combines a unique blend of engineering excellence and deep industry expertise, helping over 425 global clients innovate in the areas of automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications.
DXC Technology is a leading Fortune 500 IT services company which helps global companies run their mission critical systems. Together, DXC and Luxoft offer a differentiated customer-value proposition for digital transformation by combining Luxoft’s front-end digital capabilities with DXC’s expertise in IT modernization and integration. Follow our profile for regular updates and insights into technology and business needs.
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