Job Description
Position Summary The 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 strong production support expertise with a forward-looking mindset to architect and deliver future-ready data platforms. This position is based in Hyderabad, India. Requirements Principal Responsibilities Develop modern data pipelines using Azure Data Factory and Snowflake. Migrate and modernize legacy SSIS/SSRS workloads to cloud-native solutions. Implement DataOps practices, CI/CD pipelines, and automation. 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. Provide root-cause analysis and preventive solutions for recurring production issues, minimizing downtime and improving stability. Contribute beyond technical scope when necessary, demonstrating versatility in a startup environment. Benefits Qualifications Experience 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 Requirements Bachelor’s degree in computer science, IT, or related field. 3–5 years of experience in enterprise data engineering. Hands-on experience with Azure cloud services and Snowflake.
Required Skills
windows azure platform, sql server integration services, sql server reporting services, production support, Azure Data, Snowflake, data architecture