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Data Engineer BI - Consumer Technology

 Bangalore  2  2002

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Job Details

Company A Multinational Finance company
Position Data Engineer BI - Consumer Technology
Required Experience 2-8 Years
CTC Best in the industry
Location Bangalore
Job Code 2002
Posted On 06 Oct 2021
Application Deadline 31 Oct 2021


problem-solvers, building solutions in risk management, big data, mobile , BI tools ,Python, Java, C, Scala, C++,,ableau / QlikView / Spotfire / Power BI


What We Do

Our Engineers don’t just make things – we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.


Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.  Want to push the limit of digital possibilities?  Start here.


Who We Look For

Our Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.



Our firm’s consumer business, combining the entrepreneurial spirit of a startup with 150 years of experience. Today, our product has $90 billion in deposits, $7 billion in loan balances and 4 million customers across our lending and deposits businesses, as well as the personal financial management app, Clarity Money. Through the use of insights and intuitive design, we provide customers with powerful tools and products that are grounded in value, transparency and simplicity. We are backed by our unique team, comprised of individual contributors from leading agile technology companies, fintechs and consumer financial services companies, allowing us to disrupt the industry, while helping consumers take control of their financial lives.


• You will be part of the technology function for our product, focusing on building a business intelligence  and Analytics platform that enables the business to operate efficiently
• You should be able to quickly build visualizations and semantic layers on top of AWS / Hadoop / Sybase / Oracle data to meet business needs, as well as be the thought leader to influence functional heads on new and innovate ways to visualize and report data that will help drive business value
• You will help design data models to support new and existing Lines of business(s) to enable business teams make accurate, timely and reliable decisions

·  You will participate in data architecture decisions and partner with technology teams to implement data products in production systems.
• You will work closely with business partners and technology leaders to evaluate new BI tools that can further enhance the business’ ability to analyze data
• You should be able to commercialize data products and influence leadership on the value of these products


• Advanced degree in Engineering, Computer Science or related disciplines
• Hands-on experience with one or more mainstream programming languages (Python, Java, C, Scala, C++, etc.)

·  Hands-on experience with one or more relational database systems (Sybase, Snowflake, Oracle)

·  Experience in building data products from ideation to implementation
• At least 2 years experience in a visualization tool such as Tableau / QlikView / Spotfire / Power BI
• At least 3 years experience dealing with data (structured or unstructured)
• Ability to use data for business analysis and to drive customer focussed ideas
• Strong project management skills
• Experience working in a start-up business or a new business line within a larger organization is preferred


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