The Senior Data Engineer will lead the design, optimization, and support of enterprise-grade, high-availability data platforms. This role is responsible for modernizing legacy systems, building scalable Azure and Snowflake-based pipelines, and enabling AI/ML-ready data ecosystems. The ideal candidate will combine solid production support expertise with a forward-looking mindset to architect and deliver future-ready data platforms. This position is Remote / Hybrid, India
Develop modern data pipelines using Azure Data Factory and Snowflake.

- Migrate and modernize legacy SSIS/SSRS workloads to cloud-native solutions.
- Ensure database and pipeline scalability, security, and performance.
- Partner with analytics and AI teams to deliver trusted, AI-ready data assets.
- Lead cloud migration initiatives across structured, semi-structured, and streaming data sources.
- Provide production support for enterprise data platforms, including database environments, pipelines and integrations.




- QualificationsExperience with Azure Data Factory, Synapse, Data Lake, and Snowflake.
- Experience with in-schema design, performance tuning, and data architecture.
- Familiarity with streaming frameworks (Kafka, Event Hubs) a plus.
- Minimum RequirementsBachelor's degree in computer science, IT, or related field.
- 5–7 years of experience in enterprise data engineering.
- Hands-on experience with Azure cloud services and Snowflake.

ai, we are shaping the future of data and AI by helping organizations scale insights and accelerate innovation. they are the foundation of everything we do. By joining us, you will help architect the next generation of enterprise data ecosystems while growing alongside a company that moves fast and builds boldly.

Integrity, Customer Success, Collaboration, Continuous Learning, and Innovation

📌 Data Engineer (Hybrid/ Remote) (Secunderabad)
🏢 SpinTheory
📍 Secunderabad