Loop Health
Mumbai
51-200 employees
We’re building a brand new healthcare platform that ensures financial protection from health risks and improves health outcomes.
Prior Listings
Data Engineer
Data Engineer
This job is no longer open
About Us
Getting access to high-quality healthcare should be simple. But today's healthcare system is failing us. Patients are plagued with doubt, they're left in the dark and insurance doesn't cover their needs.
At Loop, we are on a mission to change that. We want to make a healthier life accessible for all using innovative technology solutions.
We are backed by global investors like Khosla Ventures, Elevation Capital, and General Catalyst. Angel investors include the founders of Meesho, NoBroker, Livspace, Twitch, Digg and more. We're proud to serve 150+ companies like Shaadi, ElasticRun, mSwipe, Helpshift and to support 50,000+ employees for their insurance and healthcare needs.
If you'd like to learn more, there are tons of resources about what we are building at Loop. Here are some of our favorites:
How Loop Health’s group insurance plans go beyond securing lives to improve healthcare delivery — Your Story
Loop Health secures $2.3 million from Sierra Ventures and Y Combinator — Economic Times
Join us in making health insurance simple, reliable and human.
Roles and Responsibilities
- Work in collaboration with engineers and stakeholders to build a platform for enabling data-driven decisions.
- Build reliable, scalable, CI/CD driven streaming and batch data engineering pipelines.
- Oversee and govern the expansion of the current data architecture and the optimization of query and data warehouse.
- Create a conceptual data model to identify key business entities and visualize their relationships.
- Create detailed logical models using business intelligence logic by identifying all the entities, attributes, and relationships
- Storage (cloud data warehouse, S3 data lake), orchestration (Airflow), processing (Spark, Flink), streaming services (Kafka), BI tools, graph database, and real-time large scale event aggregation store are all examples of data architecture to design and maintain.
- Work on cloud data warehouses, data as a service, business intelligence, and machine learning solutions.
- Data wrangling in a diverse environment.
- Ability to provide data and analytics solutions that are cutting-edge.
- Identify strategic and Operational KPIs for the team and drive the team to deliver the committed targets.
Qualifications
- SQL knowledge, as well as programming skills in Scala or Python.5+ years of applicable data warehousing, data engineering, or data architecture experience
- Experience with the GCP stack (BigQuery, GCP Databricks) is a plus
- Ability to design data analytics solutions to meet performance and scaling requirements.
- Demonstrated analytical and problem-solving abilities, particularly in the context of large data.
- Data warehousing concepts and modern data warehouse/Lambda architecture are well-understood.
- Good understanding of the Machine Learning and Artificial Intelligence (AI) solution space.
- Communication and interpersonal skills at all levels of management
- You are a detail-oriented person with excellent communication skills and a strong sense of teamwork.
What you can expect from us
👩👩👦 Loop Family Healthcare Health insurance for you and your family for all medical emergencies.
🗣 High agency You'll always have the agency to shape projects, processes and outcomes independently.
📚Learning Budget If there's a workshop, book or event you think will help you learn, we'll cover your bill.
🖥 Work from home setup We'll help you set up your office the way you want to with the best equipment around.
This job is no longer open