Data Engineer- Scala

City

Pune

Job Type

Full Time

Country / State

India

Function Category

Information Technology (IT)

Join us

At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?

Contact Details

UBS Business Solutions SA
UBS Recruiting

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.

Your team

You’ll be working in the Group Functions- Reference data Platform and service team who are driving innovation
and reengineering of reference data in bank.
You'll play an important role in seeing our transition to Cloud technologies, simplification of IT landscape and improvement in our business operating model.
Our culture centers on partnership with our businesses,transparency, accountability and empowerment, and passion for the future.

Your expertise

•experience in Distributed Processing using Databricks (preferred) or Apache Spark
•meaningful experience with at least one of the following technologies: Scala or Python
•ability to debug using tools like Ganglia UI, expertise in Optimizing Spark Jobs
•experience and interest in Cloud platforms such as Azure (preferred) or AWS
•the ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
•expert in creating data structures optimized for storage and various query patterns for e.g. Parquet and Delta Lake
•meaningful experience in at least one database technology such as:
- traditional RDBMS (MS SQL Server, Oracle, PostgreSQL)
- NoSQL (MongoDB, Cassandra, Neo4J, CosmosDB, Gremlin)
•understanding of Information Security principles to ensure compliant handling and management of data
•experience in traditional data warehousing / ETL tools (Azure Data factory, Informatica)
•ability to clearly communicate complex solutions
•strong problem solving and analytical skills
•proficient at working with large and complex code bases (Github, Gitflow, Fork/Pull Model) and development tools like IntelliJ
•working experience in Agile methodologies (SCRUM, XP, Kanban)

About us

UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..

We have a presence in all major financial centers in more than 50 countries.

Your Career Comeback

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

How we hire

We may request you to complete one or more assessments during the application process. Learn more