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 BD) 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 .