Data Engineer

3 weeks ago

Delhi, India UBS Full time
Your roleWe are Looking for a Data Engineer to:engineer reliable data pipelines for sourcing, processing, distributing, and storing data in different ways,using cloud data platform infrastructure effectivelytransform data into valuable insights that inform business decisions, making use of our internal dataplatforms and applying appropriate analytical techniquesdevelop, train, and apply data engineering techniques to automate manual processes, and solve challengingbusiness problemsensure the quality, security, reliability, andpliance of our solutions by applying our digital principlesand implementing both functional and non-functional requirements.build observability into our solutions, monitor production health, help to resolve incidents, and remediatethe root cause of risks and issuesunderstand, represent, and advocate for client needsCodify best practices, methodology and share knowledge with other engineers in UBSshape the Reference Data Mastering and Distribution architecture and technology stack within our newcloud-based datalake-house.Your teamYou'll be working in the Group Functions-Reference data Platform and service team who are driving innovation andreengineering of reference data in bank. You'll play an important role in seeing our transition to Cloud technologies,simplfication of IT landscape and improvement in our business operating model. Our culture centers onpartnership 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

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 ensurepliant handling and management of data,experience in traditional data warehousing / ETL tools (Azure Data factory, Informatica)• proficient at working with large andplex code bases (Github, Gitflow, Fork/Pull Model) and development tools like IntelliJ• working experience in Agile methodologies (SCRUM, XP, Kanban)About 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 ourpetitors..We have a presence in all major financial centers in more than 50 countries.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? Job ID 294060BR

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