Data Engineer-Azure Databricks

Overview

We’re looking for a passionate Data Engineer to:

• design, model, develop, and improve data pipelines and data products
• apply a broad range of software engineering practices, from analyzing user needs and developing new features to automated testing and deployment
• take ownership and drive deliveries within a supportive team environment
• be comfortable within a geographically spread, fast-moving Agile team
• ensure the quality, security, reliability, and compliance of our solutions
• build observability into our solutions to monitor production health, help to resolve incidents, and remediate the root cause of risks and issues
• continuously up-skill, learn new technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind
• work with Databricks/Delta Lake, Python, ADLS
  
  

Full Time

Job Reference #

316957BR

City

Hyderabad

Your team

You will be part of the Development Practices & Standards (DP&S) Engineering global team within the Group CTO – Core Platform Engineering area. The team is responsible for delivering the new Engineering Data Solution and to help improve the efficiency of end-to-end Software Development Lifecycle for the Bank. The team has a strong continuous growth & improvement mindset,

at personal, team and department level.

We are a global organization that values diversity, collaboration, engineering & digital culture, and innovation. You will be able to join one or more UBS Certified programs for Engineers or Data Specialists which offers many learning opportunities. This is one of many strategic initiatives to drive engineering excellence.

Your expertise

• ideally 8+ years of experience in designing/developing data analytics and data warehouse solutions
• strong experience with Azure stack and in particular Azure Databricks and Delta Lake,
  
  

working with large Data Lake solution with multi-format data

• good understanding on Azure Data Lake Storage Gen2
• proficient Python & T-SQL coding experience, in particular developing Spark jobs
• experience of creating and maintaining data products, including modelling
• good understanding of engineering practices and software development lifecycle
• experience working in enterprise software engineering environment including Git (Gitlab)
• nice to have: knowledge in Kafka data streaming on Azure
  
  

UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.

We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.

We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Disclaimer / Policy statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.