Senior Data Engineer - Bangalore

Posted:
12/3/2024, 3:55:48 AM

Location(s):
Karnataka, India

Experience Level(s):
Senior

Field(s):
Data & Analytics

About Bureau 

At Bureau, we take care of risks so that our clients take care of their business. Bureau is a no-code Identity Decisioning Platform that enables seamless customer onboarding and fraud-free customer interactions. Our no-code identity orchestration platform protects and accelerates onboarding, verification, and transactions — without introducing friction for the end users. Our innovative technologies and data-driven approach enable our clients to mitigate risks, enhance security, and build trust with their customers. We prefer trustworthiness over creditworthiness! The company is an ISO 27001: 2013 and SOC2 Type 2 certified organization.

We pride ourselves on our collaborative culture and commitment to excellence.

Industry: Financial Services 

Work experience: 4 - 8 years

Work Location: Bengaluru 

One of the largest insurance companies in Asia relies on (Field Sales) Agents to sell their insurance policies. The Agent is incentivised to onboard as many clients as possible in order to make their commissions. This leads to them cutting a few corners: while the ID details remain legitimate, agents tell their busy customers ( people like you) that they’ll fill out the form on their behalf and end up providing their contact details instead of that of the customer. This leads to: 

  1. Lack of contact ability about renewals 

  2. Lack of clarity on policy details 

  3. Difficulty in making claims 

  4. Red flags during regulatory audits

With Bureau’s help, this insurer gets to conduct a persona-person match right at the onboarding stage to make sure such issues don’t occur. That’s just one of the several kinds of problems we help solve.Whether it’s Collusion, Fraud Rings, Promo Abuse, Chargeback, Account Takeover, or Sim Swap frauds - Bureau’s squad of Fraud Fighters is there to help Product and Growth teams across the globe. 

If you read the above paragraphs and found it intriguing, please consider joining us on this journey where we help businesses and their customers feel safe and secure while transacting across the Internet. This is day zero and we have so much more to build and sell. 

More information on www.bureau.id

Responsibilities:

  • Ability to design and architect complex data lake on the cloud

  • Build scalable data pipeline and orchestration leveraging state of the art big data technologies

  • Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes

  • Work closely with the data science and decision science teams to develop data stores, orchestration workflows and pipelines for research, reporting, and machine learning

  • Be an advocate for best practices and continued learning

  • Model front end and back end data sources to help draw a more comprehensive picture of user flows throughout our system and enable powerful data analysis

  • Build data pipelines that clean, transform, and aggregate data from disparate sources

  • Build and maintain MLOps platform to deploy models that can be used to make predictions and answer questions for the overall business

Requirements:

  • Strong Big data engineering (Batch & Streaming) experience in cloud leveraging tech like EMR, Spark, Spark streaming

  • 5  or more years of experience with Big data and data lake technology stack like EMR , Spark and SQL

  • Familiarity with the AWS ecosystem specifically EMR, Athena, messaging brokers and RDS

  • Experience building scalable data pipelines or ETL processes

  • Experience building RESTful APIs, architecting complex systems with batch and real-time workloads, monitoring and instrumenting production systems

Bureau

Website: https://bureau.id/

Headquarter Location: San Francisco, California, United States

Employee Count: 51-100

Year Founded: 2020

IPO Status: Private

Last Funding Type: Series A

Industries: Cyber Security ⋅ Fraud Detection ⋅ Identity Management ⋅ Risk Management