Senior Analytics Engineer

Role

Senior Analytics Engineer

Function

Data Engineering & Analytics

Location

Bengaluru, India

Type

Full-time

Compensation

Competitive compensation and benefits (details not specified)

Industry

Information Technology & Services, AI, Physical Infrastructure

About Company The company is an AI-powered technology firm revolutionizing how people interact with physical spaces. It operates the largest checkout-free parking network in North America, spanning 4,500+ locations.

Its computer vision platform recognizes vehicles and processes payments automatically — no apps, no tickets. The company has expanded into gas stations, car washes, and retail venues.

Backed by $4.1 billion in Series D funding, it operates at the intersection of deep tech and real-world infrastructure with a team of 20,000.

Position Overview

We are looking for a Senior Analytics Engineer to join the Data Engineering and Analytics team in Bengaluru. You will own the design and implementation of large-scale data warehouses and data marts that power product and business decisions across the company. This is a high-impact, cross-functional role where your data architecture will directly shape how the company operates and grows.

Role & Responsibilities

• Design, build, and maintain scalable data models and transformation pipelines using dbt on Snowflake
• Own end-to-end data projects — from requirements gathering with stakeholders to production deployment and monitoring
• Partner with Data Scientists, Data Analysts, Product Managers, and Engineering teams to make data accessible and actionable
• Implement data quality frameworks with test-driven approaches to catch bad data and trigger alerts in the pipeline
• Optimize query performance using partitioning, clustering, incremental modeling, and Snowflake-specific best practices
• Mentor junior engineers and cross-functional stakeholders on data modeling best practices and analytics engineering standards
• Define and drive the data vision and architecture for multiple product domains across the company

Must Have Criteria

• 5+ years of experience in data or analytics engineering roles
• 5+ years of hands-on SQL experience, including window functions, STRUCT/ARRAY manipulation, and query optimization
• 5+ years of Python experience for data pipeline development and automation
• 3+ years of experience building data transformation pipelines using dbt (Core or Cloud)
• Hands-on experience with Snowflake as the primary data warehouse (partitioning, clustering, incremental models)
• Proven track record of owning and delivering large-scale data warehouse or data mart projects with measurable business impact
• Experience designing ELT pipelines and working with data quality/testing frameworks within dbt

Nice to Have

• dbt certification (Analytics Engineering or Developer)
• Experience working in a high-growth startup or scaleup environment (Series B–D)
• Familiarity with Datadog or similar observability tools for pipeline monitoring
• Exposure to Scala or TypeScript in a data engineering context
• Prior experience in mobility, logistics, fintech, or infrastructure-tech domains

What We Offer

• Opportunity to build data infrastructure at scale — 4,500+ locations and millions of transactions
• Work at the cutting edge of AI and computer vision applied to real-world physical infrastructure
• Collaborative, fast-paced culture that values ownership and technical excellence
• Competitive compensation and benefits as part of a Series D, globally recognized tech company
• High-visibility role with direct impact on company-wide decision-making