Senior /Staff Data & Cloud Platform Engineer

Micron Technology, Inc; Hyderabad; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Micron Technology, Inc is seeking a Senior/Staff Data & Cloud Platform Engineer to design and operate scalable data pipelines across multi-cloud environments. You will build reliable ETL/ELT workflows, manage schema and data quality, and enable secure, cost-efficient data processing at scale.

The role emphasizes collaboration with IT, AI teams, and product engineering to deliver robust platform capabilities and governance across AWS, GCP, and on-prem resources.

Qualifications

• Bachelor's degree or higher in Computer Science, Data Engineering, Cloud Engineering, Information Systems, or related technical field.
• 5+ years in data engineering, cloud engineering, platform engineering, DevOps, or infrastructure engineering.
• Strong hands-on experience with Python, SQL, automation scripts, and cloud-native data services.

Responsibilities

• Data Pipeline Engineering: Build scalable ingestion pipelines from multiple data sources.
• Workflow Orchestration: Develop batch, scheduled, and event-driven workflows using Apache Airflow.
• ETL/ELT Frameworks: Implement reusable pipeline patterns, transformations, and data quality checks.

Skills

Data engineering

Python

SQL

Airflow

Cloud platforms

Collaboration

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

Kubernetes

Docker

CI/CD

GCP/AWS

Job description

Req. ID: JR109153 Senior /Staff Data & Cloud Platform Engineer (Evergreen)

Responsibilities

• Data Pipeline Engineering: Build scalable ingestion pipelines for structured, semi-structured, and engineering data sources.
• Workflow Orchestration: Develop reliable batch, scheduled, and event-driven workflows using Apache Airflow and cloud-native services.
• ETL / ELT Frameworks: Implement reusable pipeline patterns, transformations, incremental ingestion, and data quality checks.
• Schema Management: Implement schema registry, schema versioning, schema evolution, and compatibility controls.
• Delta Detection: Build change detection and incremental refresh mechanisms for efficient large-scale data synchronization.
• Entity Extraction: Extract and normalize key identifiers such as Lot, Die, Wafer, Test, Flow, Product, and Step.
• Cloud Landing Zones: Set up secure AWS, GCP, and on-prem landing targets for validation and analytics pipelines.
• Infrastructure Automation: Provision infrastructure using Terraform, CI/CD, and Infrastructure-as-Code practices.
• Platform Operations: Support containerized workloads using Kubernetes, Docker, monitoring, logging, and operational controls.
• Security & Cost Optimization: Implement IAM, RBAC, hybrid connectivity, access controls, and cost optimization for TB-scale data.
• Cross-Functional Delivery: Partner with IT, TPG AI, SMAI, Data Science, Product Engineering, and platform teams.

Expertise

• Data Pipeline Engineering: Design and operation of scalable ingestion pipelines, ETL/ELT frameworks, metadata-driven processing, and data quality validation.
• Workflow Orchestration: Development and management of batch, event-driven, and scheduled workflows using Apache Airflow.
• Cloud Data Platforms: Building data solutions using GCP and AWS services for ingestion, processing, storage, and analytics.
• Schema & Metadata Management: Implementation of schema registries, schema evolution, version control, metadata capture, and lineage readiness.
• Incremental Data Processing: Development of delta detection, CDC-style processing, watermarking, and efficient refresh strategies.
• Manufacturing Data Modeling: Extraction and normalization of Lot, Die, Wafer, Test, Flow, Product, Step, and validation identifiers.
• Multi-Cloud Architecture: Secure and scalable data platforms across AWS, GCP, and on-premises environments.
• Infrastructure Automation: Cloud provisioning using Terraform, automation frameworks, reusable modules, and CI/CD practices.
• Container & Platform Engineering: Operation of containerized applications and platform workloads using Kubernetes and Docker.
• Cloud Security & Governance: IAM, RBAC, data protection, service accounts, secrets management, and enterprise access controls.
• Hybrid Cloud Connectivity: Networking, VPN, private connectivity, and secure integration between cloud and on-prem environments.
• Reliability & Cost Management: Monitoring, observability, performance tuning, troubleshooting, and optimization for TB-scale workloads.

Qualifications

• Education: Bachelor's degree in Computer Science, Data Engineering, Cloud Engineering, Information Systems, or related technical field.
• Experience: 5+ years in data engineering, cloud engineering, platform engineering, DevOps, or infrastructure engineering.
• Programming: Strong hands-on experience with Python, SQL, automation scripts, and cloud-native data services.
• Cloud Platforms: Practical experience with GCP services such as Dataflow, Pub/Sub, Cloud Functions, BigQuery, Cloud Storage, IAM, and AWS services such as Glue, Lambda, S3, Redshift, IAM.
• Infrastructure & DevOps: Experience with Terraform, Kubernetes, Docker, CI/CD, cloud networking, IAM, and operational automation.
• Collaboration: Ability to partner with IT, AI, Data Science, Engineering, and manufacturing stakeholders to deliver reliable platform capabilities.
• Proven ability to leverage AI‑assisted (vibe) coding techniques to improve efficiency or automate design and analysis methodologies
• Leverage AI tools to automate the tools and workflow
• Applying Artificial Intelligence in workflows to improve build efficiency

Preferred Domain Exposure

• Industrial / Engineering Context: Semiconductor, NAND, product engineering, validation, manufacturing, reliability, quality, test, yield, or RCA data environments.
• AI / Analytics Platforms: Data foundations for AI/ML, analytics, knowledge platforms, digital thread, traceability, or governed data products.
• Certifications: AWS, GCP, Kubernetes, Terraform, or data engineering certifications are preferred but not mandatory.

Job Profile(s)

Product Development Engineer 3

Relocation level: (TBD)

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.