Azure Cloud Data Engineer (spark, Scala)

Year    Pune, Maharashtra, India

Job Description


Business DivisionsGroup FunctionsYour roleYour role
Do you want to drive the next level of application architecture in the Compliance IT space? Would you like to apply Agile at scale while developing state of the art Model Deployment and Execution Platform on Cloud? How about shaping the future of Compliance technology together with a fun-loving cross-functional team?We are looking for a seasoned azure cloud data engineer to

  • develop data load & transform and model development / execution on azure cloud
  • help us build state of the art solutions that underpin Monitoring & surveillance models and alert generation using cutting edge technologies like Scala, Azure Data Lake, DataBricks, Apache Spark, Postgres etc.
  • demonstrate superior problem-solving skills
  • demonstrate superior collaboration skills in working closely with other development, testing and implementation teams to roll-out important regulatory and business improvement programs
This will be an AD level role based in Pune, India with our growing development presence in the UBS India office.Function CategoryInformation Technology (IT)Join usAt 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 DetailsUBS Business Solutions SA
UBS RecruitingYour teamYour team
You will be a key member of a young and expanding team that is part of the Compliance Technology function. We are a small friendly bunch who take pride in the quality of work that we do. As a team, we provide AI based solutions on top of a big data platform, working closely with peers from the business led data science team, as well as other engineering teams.Your expertiseYour expertise
  • degree level education; preferably Computer Science (Bachelor or Master\'s degree)
  • 7-10 years of hands-on design and development experience in several of the relevant technology areas (Azure Data Lake, Apache Spark, DataBricks, Postgres etc.)
  • experience and expertise working in a microservices based architecture
  • experience in working in a MS Azure (added advantage)
  • experience in coding skills in Scala or PySpark (added advantage)
  • have Agile, Test Driven Development and DevOps practices part of your DNA
  • demonstrate strong communication skills, both to senior management and teams
  • background in IB or Finance domain with good understanding of finance principles (added advantage)
  • gitlab & CI/CD pipeline experience is a plus
  • experience with PyTest or Scala Test is a plus
  • strong analytical and problem solving skills
  • collaborative approach towards problem solving, working closely with other colleagues in the global team and sensitive towards diversity
#LI-SS1About usUBS 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 ComebackWe are open to applications from career returners. Find out more about our program on .How we hireWe may request you to complete one or more assessments during the application process.

UBS

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Job Detail

  • Job Id
    JD3431453
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Pune, Maharashtra, India
  • Education
    Not mentioned
  • Experience
    Year