Data Engineer, Databricks, ADLS, Python

3 weeks ago

Delhi, India UBS Full time
Your role
Are you an analytic thinker? Do you like to leverage data and analytics to create actionable insights that enhance client experience and support business growth?
The Data Engineer is responsible for helping to construct, test and maintain architectures such as distributed data pipelines, event streams and databases using a varied set of technologies to deliver on business requirements. Data Engineers work closely with our software engineers, database architects, data analysts and data scientists to ensure the data architecture of your projects is aligned to the strategic architecture ofms and Branding.
The Customer Data Platform is the fusing of data, technology and content to deliver personalised user experiences. The platform enables marketers to plan, execute, and analyze multiple targeted marketing campaigns: To attract, convert, nurture, measure. You will play a critical role in designing and delivering the Adobe Experience Platform and application services built on the platform; partnering with application and data engineering teams, integrating with the UBSms & Branding marketing ecosystem.
We're looking for a Data Engineer to:
• drive the design and build of large datasets and data pipelines to support building out our Adobe Experience Platform which will enable advanced segmentation and unique customer experience targeting, automation, and analytics.
• gather and understand marketing domain data requirements,plex data pipelines for real time data, click stream analysis and work to achieve high-quality data ingestion goals.
• engineer reliable data pipelines for sourcing, processing, distributing, and storing data in different ways, using data platform infrastructure effectively
• ensure the quality, security, reliability, andpliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements.
• build robust, secure and scalable APIs for accessing data
• transform data into valuable insights that inform business decisions, making use of our internal data platforms and applying appropriate analytical techniques, metrics and visualisation
• develop aprehensive knowledge of the bank's global taxonomy, data structures and metrics, advocating change where needed for product development
• develop, train, and apply machine-learning models (MLOps, MLflow) to make better predictions, automate manual processes, and solve challenging business problems
• work with Azure Data Lake, Cosmos, Databricks, Data Factory
Your team
You'll be working in the GOTO, Group Functions,ms and Branding technology team focusing on bringing as much insight data as possible to inform marketers and sales on the best omni-channel marketing. You'll be working with the C&B Services teams in Zurich, London, USA, Poland, and India. We manage a wide range of digital marketing andmunication platforms, such as the public website, microsites, analytics, global e-mail marketing solutions, marketing automation, high performance web caching, mobile applications, the corporate intranet and employee engagement systems.
Your expertise
•prehensive understanding and ability to apply BI data engineering techniques, from event streaming and real-time analytics toputational grids and graph processing engines with overall 7-12 yrs experience
• high quality data pipelines with rock solid stability and performance, azure database, data lake and data handling technologies
• exposure to MLOps, MLFlow and emerging machine learning models
• ability to introspect and profileplex pipelines with critical thinking
• years of experience with data engineering, architecture, Customer Data Platform schemas & data models
• years of experience working in a distributedputing or cloud-based environment with high transaction volumes, experience in API technologies for domain-driven microservices architecture
• python, Scala, Jupyter Notebook, Databricks, Apache Spark, Microsoft Power BI, HTML, RESTful Microservices
•prehensive knowledge of information lifecycle and dataernance principles
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 ourpetitors..
We have a presence in all major financial centers in more than 50 countries.
How we hire
We may request you toplete one or more assessments during the application process. Learn more
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? Job ID 288572BR

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