Micron
Staff Data Engineer
- Compensation
- Not disclosed
- Location
- Hyderabad, Telangana, India
- Work setup
- Onsite
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 8+ years of IT experience in data and technology, including 5+ years architecting and delivering large-scale cloud data, analytics, and AI/ML solutions.
- Strong hands-on experience with GCP and/or Azure, along with enterprise and on-premises technology platforms.
- Strong experience with Snowflake, including enterprise data architecture, data modeling, performance optimization, and integration with cloud and enterprise platforms.
- Strong experience with SAP platforms and data integration; experience with SAP S/4HANA and leveraging SAP data for enterprise analytics solutions is highly desirable.
- 5+ years of hands-on experience with technologies such as Python, SQL, .NET, and Angular, along with strong software engineering and GitHub-based development practices.
- Experience with Generative AI and Agentic AI solutions; exposure to distributed technologies such as Kubernetes/OpenShift and Solace is desirable.
- Strong analytical and problem-solving capabilities, with excellent communication, presentation, and stakeholder management skills across business and technical audiences.
- Demonstrated ability to evaluate and adopt emerging technologies and translate them into scalable solutions that deliver long-term business value.
Full description
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a Staff Data Engineer & AI Solution Architect you should be able to architect scalable, enterprise-grade data, cloud analytics, AI/ML, and Agentic AI solutions for complex business use cases. The ideal candidate will bring strong expertise in GCP/Azure, Snowflake, SAP S/4HANA, Python, SQL, and modern engineering practices, along with proven technical leadership, problem-solving, and stakeholder collaboration skills.
Roles & Responsibilities
- Architect and deliver scalable, production-ready cloud data, analytics, AI/ML, and data science solutions to address complex business challenges.
- Lead enterprise architecture and technical design decisions, establishing robust data models, platform standards, integration patterns, and lifecycle practices while minimizing technical debt.
- Provide deep technical expertise to troubleshoot critical issues and drive innovative, scalable solutions across multiple projects and technology domains.
- Collaborate with cross-functional teams, architects, business stakeholders, and technical working groups to define and deliver effective architecture solutions.
- Provide technical leadership, mentoring, architecture reviews, and solution guidance to Data Engineers, Data Scientists, Engineers, and Product Owners, strengthening overall engineering capability.
Qualifications & Experience
- 8+ years of IT experience in data and technology, including 5+ years architecting and delivering large-scale cloud data, analytics, and AI/ML solutions.
- Strong hands-on experience with GCP and/or Azure, along with enterprise and on-premises technology platforms.
- Strong experience with Snowflake, including enterprise data architecture, data modeling, performance optimization, and integration with cloud and enterprise platforms.
- Strong experience with SAP platforms and data integration; experience with SAP S/4HANA and leveraging SAP data for enterprise analytics solutions is highly desirable.
- 5+ years of hands-on experience with technologies such as Python, SQL, .NET, and Angular, along with strong software engineering and GitHub-based development practices.
- Experience with Generative AI and Agentic AI solutions; exposure to distributed technologies such as Kubernetes/OpenShift and Solace is desirable.