Lead BI Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Upstox is one of India's leading Fin-Tech companies with a mission to simplify trading & investing to make it easily accessible to the masses. From new investors to seasoned traders, we aim to enable everyone to invest across multiple categories with our state-of-the-art trade & investment platform and commission-free pricing. We offer numerous asset categories to invest in, like Stocks, Digital Gold, IPOs, Mutual Funds, and more.

By focusing on our customers’ needs and equipping them with personalized yet powerful tools, we witnessed a steep growth of 800% in our customer base from 25 Thousand in 2017 to 2 Lakh in 2019. With 1500% growth in 2020, currently, over 4 million customers trust us with their investment decisions, thus setting us on the course to become an industry leader in the country.

The company was founded in 2009 by Ravi Kumar and Shrinivas Viswanath, and in 2016 Kavitha Subramanian joined as the third co-founder. Backed by Ratan Tata, we raised $4 million in Series A funding (2016) led by Kalaari Capital. In 2019, US-based investment firm Tiger Global Management invested $25 million in a Series B funding round. Visit our Linkedin page to learn more about us.

Role: Lead Business Intelligence Engineer

Responsibilities:

• Develop flexible and scalable solutions using new technologies.
• Diving deep to fully understand the ETL pipelines, report architecture and metric definitions.
• Complete ad hoc data retrieval and analysis using relational databases, Excel, and other data

management systems.

• Mine DW / BI platforms to fetch raw data and analyze it to prepare insightful statistical reports.

Requirements:

• BA/B. E. /B. Tech/MBA/MS/M Tech in Engineering, Mathematics, Statistics or related field.
• 5+ years of working experience.
• Knowledge of Java / Python / R / ML modeling.
• Knowledge of BI & statistical tools such as SAS, SQL & ETL DW concepts is a plus
• Knowledge of SQL.