Senior /Staff Data & Cloud Platform Engineer

1840 Micron Tech. OP India LLP; New Delhi; On-site; INR 1,600,000 - 2,400,000; Full time

Job summary

Micron Technology, Inc. is seeking an experienced Data/Cloud Engineer to design and operate scalable ingestion pipelines across AWS, GCP, and on-prem environments. You will build batch, streaming, and event-driven workflows with Airflow, implement schema management, and ensure data quality at TB-scale levels.

The role emphasizes collaboration with IT, AI, Data Science, and Engineering teams to deliver reliable platform capabilities and cost-optimized security controls.

Qualifications

• Bachelor's degree 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.
• Practical experience with GCP Dataflow, Pub/Sub, BigQuery, Cloud Storage, IAM, and AWS Glue, Lambda, S3, Redshift, IAM.
• Experience with Terraform, Kubernetes, Docker, CI/CD, cloud networking, IAM, and operational automation.
• Ability to collaborate with IT, AI, Data Science, Engineering, and manufacturing stakeholders to deliver reliable platform capabilities.
• Familiarity with AI-assisted coding techniques and applying AI in workflows to improve build efficiency.
• Preferred domain exposure to Industrial/Engineering contexts and data environments.
• Certifications in AWS, GCP, Kubernetes, Terraform or data engineering are preferred but not mandatory.

Responsibilities

• Build scalable ingestion pipelines for structured, semi-structured, and engineering data sources.
• Develop reliable batch, scheduled, and event-driven workflows using Apache Airflow and cloud-native services.
• Implement reusable pipeline patterns, transformations, incremental ingestion, and data quality checks.
• Implement schema registry, schema versioning, schema evolution, and compatibility controls.
• Build change detection and incremental refresh mechanisms for large-scale data synchronization.
• Extract and normalize key identifiers such as Lot, Die, Wafer, Test, Flow, Product, and Step.
• Set up secure landing targets across AWS, GCP, and on-prem for validation and analytics pipelines.
• Provision infrastructure using Terraform, CI/CD, and Infrastructure-as-Code practices.
• Support containerized workloads using Kubernetes, Docker, monitoring, logging, and operational controls.
• Implement IAM, RBAC, private connectivity, and enterprise access controls.
• Partner with IT, TPG AI, SMAI, Data Science, Product Engineering, and platform teams.

Skills

Python

SQL

Automation

Collaboration

Cloud

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Kubernetes

Docker

Airflow

GCP/AWS services

Job 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.

Responsibilities

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

Expertise

• Design and operation of scalable ingestion pipelines, ETL/ELT frameworks, metadata-driven processing, and data quality validation.
• Development and management of batch, event-driven, and scheduled workflows using Apache Airflow.
• Building data solutions using GCP and AWS services for ingestion, processing, storage, and analytics.
• Implementation of schema registries, schema evolution, version control, metadata capture, and lineage readiness.
• Development of delta detection, CDC-style processing, watermarking, and efficient refresh strategies.
• Extraction and normalization of Lot, Die, Wafer, Test, Flow, Product, Step, and validation identifiers.
• Secure and scalable data platforms across AWS, GCP, and on-premises environments.
• Cloud provisioning using Terraform, automation frameworks, reusable modules, and CI/CD practices.
• Operation of containerized applications and platform workloads using Kubernetes and Docker.
• IAM, RBAC, data protection, service accounts, secrets management, and enterprise access controls.
• Networking, VPN, private connectivity, and secure integration between cloud and on-prem environments.
• 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.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact [e-mail]

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.