Job Requirement Installation, configuration and administration of Big Data components (including Hadoop/Spark) for batch and real-time analytics and data hubs Capable of processing large sets of structured, semi-structured and unstructured data Able to assess business rules, collaborate with stakeholders and perform source-to-target data mapping, design and review. Familiar with data architecture for designing data ingestion pipeline design, Hadoop information architecture, data modeling and data mining, machine learning and advanced data processing Optional - Visual communicator ability to convert and present data in an easy comprehensible visualization using tools like D3.js, Tableau To enjoy being challenged, solve complex problems on a daily basis Proficient in executing efficient and robust ETL workflows To be able to work in teams and collaborate with others to clarify requirements To be able to tune Hadoop solutions to improve performance and end-user experience To have strong co-ordination and project management skills to handle complex projects Engineering background
About Us:Paysense is Nexus and Jungle funded startup focussed on improving the financial lives of the indian consumer. In an exclusive partnership with India Infoline (IIFL ~$600 mn networth), we are reinventing credit and access to it for the next billion Indian consumers. Traditional banks and lending institutions in India are serving less than 5% of all credit requirements. Primary sources of data on consumer spend and credit behaviour either do not exist, or, are fundamentally broken. We saw this as an opportunity to build out large scale credit system from scratch. Our team comprises of engineers, data scientists and product leaders from Stanford, IIT and UCLA; and we are looking for mission driven team mates who are ambitious, work hard, are super smart and yet humble. If this sounds like you, we’d love to have a chat.About the job:- Immerse yourself in all aspects of credit world; become a subject matter expert- Build high-visibility reports and dashboards used by teams and management across the company- Work closely with product and tech teams to quantify impact of existing products and brainstorm new ideas. Should we launch a new credit payments product for our customers, or improve existing ones?- Work with data science team to tune our existing algorithms (default prediction, fraud detection, etc), and build new algos to intelligently identify trends in our data. - Partner closely with business and operations team to find ways to optimize current processes through data and define new ones About you:- You are an engineering-minded analyst with 2+ years of experience applying analytical techniques and building analytical tools - You are able to write complex SQL in your sleep- You have working knowledge of ETL and data warehousing concepts- You are able to hack your way through Python, R or other programming environments- Good to have experience in using one or more visualization tools (Tableau, D3, etc)- Good to have experience of working with a web-oriented company, supporting engineering, product or operations functions.- Must have an statistics/engineering degree from Tier-1 college.
1 to 3 years of experience in product analytics - Highly conversant with Google Analytics and other similar tools - Basic programming ability(preferably R or Python)