Full Stack Developer – Data Platform Engineering

Title: Full Stack Developer – Data Platform Engineering

Experience: 8–10 Years

Location: Gurgaon

Job Description

We are seeking a highly experienced Full Stack Developer – Data Platform Engineering with 8–10 years of experience in building scalable data platforms, analytics solutions, and cloud-native applications.

The ideal candidate should have expert-level knowledge of Snowflake, SQL, Power BI, AWS, Data Modeling, Python, Azure DevOps, CI/CD, and modern data orchestration technologies. The candidate should also possess experience with Kubernetes, Docker, microservices, Trino/Starburst, and enterprise data platforms.

Experience in Asset Management Domain will be highly valuable.

Key Responsibilities

• Design and develop scalable data platform solutions using Snowflake and SQL.
• Develop complex SQL queries, stored procedures, views, and data transformations.
• Design efficient and scalable data models for enterprise analytics.
• Develop Power BI semantic models, reports, and interactive dashboards.
• Implement data pipelines and integration workflows.
• Develop data processing and automation solutions using Python.
• Work with AWS cloud services for data and application workloads.
• Design and maintain CI/CD pipelines using Azure DevOps.
• Work with NiFi or equivalent orchestration platforms to develop data workflows.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Develop and integrate microservices-based solutions.
• Work with Trino/Starburst for distributed SQL and data access.
• Ensure data quality, reliability, security, and performance.
• Optimize Snowflake queries and data warehouse performance.
• Collaborate with data engineers, analysts, architects, and business stakeholders.
• Participate in technical architecture and solution design discussions.
• Troubleshoot data pipeline, application, and platform issues.
• Implement monitoring and operational processes for data platforms.
• Contribute to data platform modernization and automation initiatives.
• Apply knowledge of the Asset Management domain to develop business-aligned solutions.