Sr Engineer, Data

Micron Technology; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Micron Technology is seeking a Data Engineer to design and implement scalable data architectures on Google Cloud Platform, leveraging Snowflake and BigQuery. You will build end-to-end ETL/ELT pipelines, optimize data flows, and collaborate with Data Scientists and business teams to translate requirements into scalable solutions.

The role focuses on batch and real-time processing, data governance, observability, and cost-aware design.

Qualifications

• At least 5 years of experience implementing scalable, reliable data architectures on Google Cloud Platform (GCP).
• Strong knowledge of data models, warehouse structures, and data lake strategies.
• Hands-on experience with Snowflake and cloud data ecosystems; SQL optimization and data sharing.

Responsibilities

• Build and maintain end-to-end ETL/ELT pipelines on GCP (BigQuery, Dataproc, Cloud Composer).
• Develop batch and real-time data processing pipelines; ensure high performance and fault tolerance.
• Implement CI/CD for data workflows using Cloud Build and Terraform.

Skills

Python

SQL

PySpark

BigQuery

Snowflake

GCP

Tools

Snowflake

BigQuery

GCS

Dataproc

Cloud Run

Cloud Functions

Pub/Sub

Cloud Composer

Terraform

Cloud Build

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.

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.

Job Roles & Responsibilities

• At least 5 years of experience in implementing scalable, reliable data architectures on Google Cloud Platform (GCP).
• Understand data models, warehouse structures, and data lake strategies using BigQuery, Snowflake, and GCS.
• Build cloud data warehouse solutions on Snowflake — dimensional models, virtual warehouses, clustering/micro-partition strategy, roles and row-level security — and integrate Snowflake within the broader GCP data ecosystem.
• Follow best practices for schema design, partitioning, and clustering for performance optimization.
• Very Strong Experience in Python, SQL, PySpark.
• Strong hands‑on expertise with Snowflake, including advanced SQL, performance and cost tuning, and secure data sharing.
• Build and maintain end-to-end ETL/ELT pipelines using GCP services such as: BigQuery, WorkFlow, Dataproc, Cloud Run, Cloud Functions, Pub/Sub, Cloud Composer.
• Develop batch and real‑time data processing pipelines.
• Implement CI/CD pipelines for data workflows using Cloud Build / Terraform.
• Ensure high performance, reliability, and fault tolerance in pipelines.
• Design and execute data migration strategies from on‑prem / legacy systems to GCP and Snowflake.
• Integrate multiple data sources (structured, semi‑structured, unstructured).
• Handle large‑scale data ingestion using streaming and batch approaches.
• Implement data validation, monitoring, and quality checks.
• Ensure adherence to data governance, security, and compliance policies.
• Build frameworks for data lineage and observability - Cloud Monitoring / Logging and BigQuery audit logs.
• Optimize BigQuery and Snowflake queries, storage costs, and pipeline performance; tune Spark/PySpark jobs in Dataproc environments.
• Implement query optimization and cost‑efficient designs.
• Work closely with: Data Scientists, Data Analysts, Product & Business teams.
• Translate business requirements into scalable technical solutions.

Nice To Have

• Snowflake exposure or equivalent production experience across multi-cloud data platforms.
• Basic working knowledge of the AI/ML tech stack (e.g., Vertex AI / ADK, model/data pipelines, embeddings, LLM integration) and how data engineering supports AI workloads.
• Basic front‑end exposure with Angular / React for building or supporting lightweight data applications and dashboards.
• Exposure to AI/ML data pipelines (Vertex AI / ADK).
• Experience with streaming frameworks (Kafka, Pub/Sub).
• Strong understanding of data warehousing concepts.

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.