Senior Analytics Engineer

Overview

Senior Analytics Engineer focused on turning raw data needs into AI-ready data architectures, modeling solutions, and resilient data pipelines.

What you'll do

• Design, develop, and maintain DBT data pipelines and data models for buyer experience, experimentation, and ecommerce tracking.
• Build auto-recoverable data pipelines for transformations with SLAs, performance expectations, and data quality standards.
• Optimize and debug data pipelines and analytical use cases, including data quality issues.
• Define and maintain data catalog entries and govern data for data democratization.
• Define semantic views with business context and metadata for AI-ready, self-service data consumption.
• Mentor and guide data platform associates with solutioning and code reviews.

What you'll need

• 6+ years of experience implementing enterprise data solutions.
• 3+ years of experience using ETL/data pipeline and orchestration tools (dbt, Airflow, Airbyte, Glue, Prefect, etc.).
• 2+ years of hands-on experience in data modeling, optimization, and database architecture.
• Extensive experience writing, debugging, and tuning SQL queries.
• Strong programming experience in Python or Java.
• Good understanding of AWS data services and cloud data warehouses like Snowflake.

Details

• Location: Bengaluru.