Software Engineer: Premium/Emerging 3 (6-9 Years) India

Technical

- Strong understanding of customer profile unification, identity resolution, audience management, data governance, and activation capabilities.
- Experience working with modern warehouse-connected and zero-copy architectures leveraging Snowflake for customer data management, audience activation, and analytics.
- Strong experience developing cloud-native solutions on AWS, including Kubernetes, Lambda, event-driven architectures, messaging platforms, and API-based integrations, with programming experience in Java and Python.
- Experience with Snowflake data engineering, including data modeling, SQL development, data transformation, and performance optimization for large-scale data processing workloads
- Experience with database technologies such as DynamoDB and PostgreSQL.
- Experience building scalable, secure, and high-performing solutions with solid consideration for availability, reliability, maintainability, performance, and operational excellence.

Behavioral Skills• Excellent communication and articulation skills, with the ability to build relationships and influence cross-functional teams

- Proven ability to collaborate with marketing, business, and technology stakeholders, as well as SaaS vendors, to simplify complex concepts and drive alignment on solutions and trade-offs




- Strong presence to demonstrate platform features, capabilities, and solutions to support key organizational initiatives
- Excellent analytical and problem-solving skills, with an innovative and forward-thinking approach to addressing challenges within complex data and SaaS environments
- Subject matter expertise in marketing segmentation, data, and end-to-end campaign setup and activation across Email, Web, Mobile, and Paid Media channels
- Highly adaptable and curious, with a passion for learning new technologies, frameworks, and industry best practices.

The Skills that are Good to Have for this role

- Strong front end skills using frameworks and technologies such as React, Vue, HTML/CSS, and JavaScript/TypeScript.
- Familiarity with AI/ML and Generative AI technologies, including LLMs, prompt engineering, RAG, and embeddings, and their application across CDPs, customer data, personalization, customer journeys, and marketing activation use cases.
- Exposure to predictive and AI-driven customer analytics, including propensity modeling, churn prediction, customer lifetime value (CLV) optimization, and audience intelligence.
- Knowledge of responsible AI practices, including governance, data privacy, explainability, and model performance monitoring.

📌 Snowflake Data Engineer (Chennai)
🏢 Bounteous
📍 Chennai