About the job
Job Reference #
we are looking for someone who can:
design, develop and maintain / support advanced ETL pipelines on Big Data and Azure cloud technologies to ingest & integrate data coming from multiple sources and make it ready for analytics, data science business needs.
convert complex analytic and reporting requirements into beautifully simple solutions
make sure the end user of the Data, whether it be an Analyst, Data Scientist, or an executive, can get accurate Data from which the business can make insightful decisions
produce optimized dimensional database designs to support hundreds of users querying millions of transactions at performance ranging from minutes down to sub-second
build the next generation platform using the latest Cloud-based technology
contribute to the end-2-end software development lifecycle
You will be part of Smart Marketing IT team based in Pune, India. Marketing team is accountable for delivery of the marketing capabilities via enterprise platform to power programmatic, data-driven relationship deepening campaigns which aim to boost our marketing productivity, increase conversion rates, and orchestrate connected personalized digital experiences across multiple channels and touch points for clients.
Diversity helps us grow, together. Thats why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.
7+ years of experience in data engineering and 5+ years of experience in cloud technologies
ability to work across structured, semi-structured and unstructured data, extracting information and identifying linkages across disparate data sets
hands on experience with at least one of the following programming languages: Python, Scala
experience of working with traditional data warehousing, Azure Data Factory, Azure Data Bricks, Azure Data Lake Storage, Azure Devops, Azure storage services, Azure data services and equivalent technologies
advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. experience in at least two database technology such as:
traditional RDBMS (Postgres, Oracle, MS SQL Server)
noSQL (MongoDB, Cassandra, Neo4J, CosmosDB, Gremlin)
proficient at working with large and complex code bases using Github, Gitflow, Fork/Pull Model and CI/CD
experience in Distributed Processing using Databricks (preferred) or Apache Spark
understanding of Information Security principles to ensure compliant handling and management of data
good to have experience with ETL tool like Azure Data Factory, Alteryx etc and Data visualization tools like Power BI, Tableau or any other BI tool
having experience to design OLAP cube and implementation is an added advantage
working experience in Agile methodologies (SCRUM, XP, Kanban)
ability to clearly communicate complex solutions
UBS is the worlds largest and 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.
With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of 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 were more than ourselves. Ready to be part of #teamUBS and make an impact?
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.
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