Position Title
Job Title: BI Engineer, SRE
Position Overview
Our BI team runs a set of GCP-based APIs and data services that a lot of internal products depend on. As we've grown, keeping things running has increasingly been a side responsibility for engineers who are primarily building features — and that's not sustainable. We're looking for an SRE to own that space: service health, incident response, infrastructure monitoring, and making sure we're not blindly burning cloud budget.
The BI Engineer, SRE will ensure the availability, performance, and security of the Business Intelligence team's GCP-hosted APIs and data infrastructure. This role is responsible for proactive monitoring, incident response, and continuous improvement of platform reliability across a cloud-native stack. The engineer will work closely with backend and data engineers to maintain service health and drive operational excellence. This position also carries responsibility for GCP cost visibility, helping the team track and optimize cloud spend through structured monitoring and alerting.
BI Responsibilities
Develop, maintain, and improve LookML models, views, and explores across the Looker semantic layer
Write and manage Liquid (Jinja2, Shopify flavor) templating logic for dynamic and parameterized content within Looker
Write advanced SQL queries in BigQuery to support data modeling, debugging, and performance optimization
Collaborate with data engineers on dbt models, ensuring the semantic layer accurately reflects the underlying data
Identify and resolve data quality and consistency issues across models and explores
Review and refactor existing LookML for performance, maintainability, and accuracy
Document data models and business logic to support long-term maintainability
SRE Responsibilities
Monitor and maintain uptime of GCP-hosted APIs and services, keeping performance within agreed targets
Lead incident response for BI platform services — triage, resolve, and follow up with post-mortems that actually prevent recurrence
Build and manage observability infrastructure: dashboards, alerts, and logging across GCP services
Track GCP cloud spend and set up cost alerting to flag anomalies before they become problems
Review and fix security gaps — IAP configs, service account permissions, API access controls
Work with data and backend engineers to shore up reliability of data pipelines and BigQuery workflows
Contribute to infrastructure-as-code and help keep deployments documented and reproducible
Qualifications
3+ years of experience in a BI development or data modeling role
Bachelor's degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience
Deep hands-on experience with LookML and Looker, including complex explores and derived tables
Strong working knowledge of Liquid templating (Jinja2, Shopify flavor) within Looker
Advanced SQL skills with production experience in BigQuery
Solid understanding of data modeling concepts and dimensional design
Preferred skills
Experience with the Looker Extension Framework for building custom embedded applications
Experience with dbt or willingness to pick it up quickly
Familiarity with GCP data ecosystem beyond BigQuery (Datastream, Cloud Run, etc.)
Experience working in version-controlled BI environments (Git)
Comfortable working across IST/EST time zones in a distributed team
Experience with dbt or Looker
CI/CD pipelines and deployment automation (GitHub Actions, Cloud Build, or similar)
Terraform or other infrastructure-as-code tools
Python for scripting or automation
MySQL, Spanner, or BigQuery at any meaningful depth
GCP cost management and spend optimization
Comfortable working across CET/EST hours in a distributed team
Hours & Location
Comp Structure & Benefits for India FTEs
Comp structure: fixed (inclusive of PF, Gratuity, and a 25k INR medical premium) + a target annual bonus that is approximately 5% of the gross annual earnings. Note that we don’t offer stock options.
Time Off: 21 PTOs + 9 company-wide holidays + 1 flexible holiday
Health Insurance Policy (Self & Family): Every employee and their immediate family are covered under Health Insurance Policy worth INR. 500,000
Term Life Insurance & Personal Accidental Insurance: Every employee is covered under Term Life Insurance and Personal Accident Insurance Policy worth INR. 25,00,000/- each
Other Countries
Selection Process (Might be Subject to Change):
WebMD SQL Screening Test via CodeSignal (45 minutes)
PulsePoint SQL Screening Test via CodeSignal (25 minutes)
Screening Call (30 minutes)
Hiring Manager Interview (30 minutes)
Team Interview (2 BI team members, 30 minutes each)
RED FLAGS FOR US:
Candidates won’t succeed here if they haven’t worked closely with data sets or have simply translated requirements created by others into SQL without a deeper understanding of how the data impacts our business and, in turn, our clients’ success metrics.
WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
