Big Data Python/Pyspark–Developer

Pune, India

UBS

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City

Pune

Job Type

Full Time

Country / State

India

Function Category

Investment Banking

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 will be working in the ACQA Engines in Pune. The team is highly motivated and consists of python/scala/java developers and some of the bank's best technologists.

Your expertise

• Good hands-on experience in Big Data tools like Apache Spark/Hadoop/Hive
• exposure of implementing/handling ETL process
• Minimum 3 years of experience as Pyspark Developer.
• Good hands on experience in Python (Panda) and Scala Language
• familiarity in software design and architecture to deliver complex distributed solutions
• familiarity in SOLID principles and Design Patterns
• experience of working on public cloud platforms such as Azure/AWS will be a plus
• experience of working on Kubernetes, Terraform will be a plus
• working with Global teams using Agile methodology
• excellent interpersonal skills
• Microservice experience will be preferred.

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.

How we hire

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture AWS Azure Banking Big Data ETL Hadoop Java Kubernetes PySpark Python Scala Spark Terraform

Perks/benefits: Flex hours

Region: Asia/Pacific
Country: India

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