Senior Data Engineer (Data Platform)

Overview

Own data-model analysis, governance tooling, storage decisions, retention, performance, and reliability work across Aurora, TiDB, and Snowflake in a large running system.

What you'll do

• Analyze entity access patterns and build lineage diagrams across TiDB and Aurora.
• Decide storage placement and implement migrations using classification and lineage evidence.
• Define, rehearse, and execute production data deletion under the 15-month retention SLA.
• Transform event-based segment conditions into customer attributes where applicable.
• Build Snowflake aggregation and reverse-ETL pipelines writing results to Aurora.
• Establish benchmarks, fix slow queries, and maintain indexing procedures.
• Identify and resolve test flakiness while participating in on-call response.

What you'll need

• 5+ years of professional backend or data engineering experience.
• At least 3–5 years of backend development experience.
• Bachelor's degree or higher in computer science, information engineering, or a related quantitative or information field, or equivalent practical experience.
• Advanced SQL, relational data modeling, schema design, and index design skills.
• Experience operating and tuning MySQL-compatible databases such as Aurora MySQL or TiDB.
• Ability to trace data through existing systems and shared libraries.
• Ability to own work from investigation through production rollout and operations.

Nice to have

• Production-grade TypeScript or Node.js development experience.
• Experience implementing and refactoring large monorepos and shared libraries.

Details

• Location: Bangalore.
• English is part of daily work in a global team.
• Participation in an on-call rotation is required.