In this role, you will design and develop production-grade pipelines, leverage GenAI tools (Copilot, Claude, Gemini) to boost development productivity, and define engineering best practices across complex data environments.

This is a highly collaborative, cross-functional role ideal for someone who thrives at the intersection of data engineering excellence and GenAI-powered innovation.

Location : Bangalore, Hyderabad, Mumbai, and Gurgaon

Responsibilities :

- Architect and develop end-to-end data pipelines from ingestion to transformation to consumption

- Lead solutioning and integration for complex data workflows (batch and streaming)

- Use AI-assisted coding tools (e.g., GitHub Copilot, Claude, Gemini) to accelerate code development, refactoring, and debugging

- Implement robust data quality, testing, lineage, and governance frameworks

- Drive best practices across pipeline performance, reusability, and scalability

- Mentor junior engineers and contribute to capability building within the data team

Requirements:

- 6+ years of experience in data engineering, with expertise in:

- End-to-end pipeline development (batch and streaming)

- Data modeling (dimensional, Data Vault, OBT)

- ETL/ELT design patterns, performance tuning, and optimization

- SQL (Advanced) and Python (Advanced)

- Apache Spark for large-scale data processing

- Proficiency using AI coding tools (e.g., Copilot, Claude, Gemini) to enhance productivity and code quality

- Strong understanding of data quality frameworks, unit testing, and CI/CD for data workflows

Preferred Qualifications :

- Experience with Google Cloud Platform services:

- BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, Vertex AI

- Exposure to finance or sales data domains

- Familiarity with Databricks, Delta Lake, or Apache Iceberg

- GCP Professional Data Engineer certification is a plus

What We Offer :

- Opportunity to work on modern data platforms with GenAI integration

- Access to professional development support and cloud certification sponsorship

- Competitive compensation and flexible work arrangements

- A fast-paced, high-impact environment where innovation is valued