SR ENGINEER, DATA,SMAI

Micron Technology, Inc; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Micron Technology, Inc in Hyderabad is seeking a SR Engineer for Data roles. The ideal candidate will design and implement scalable, reliable data architectures on Google Cloud Platform, and develop ETL/ELT pipelines using various GCP services.

Responsibilities include optimizing BigQuery queries and ensuring data governance and compliance. A solid background in Python, SQL, and experience with GCP services are essential for success in this role.

Qualifications

• Very strong experience in Python, SQL, and PySpark.
• Experience in building end-to-end ETL/ELT pipelines.
• Exposure to AI/ML data pipelines is a plus.

Responsibilities

• Design and implement scalable data architectures on Google Cloud Platform.
• Establish best practices for schema design and optimization.
• Develop batch and real-time processing pipelines.

Skills

Python

SQL

PySpark

GCP

Tools

BigQuery

GCS

Terraform

Kafka

Job description

SR Engineer, Data, SMAI

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence.

Job Roles & Responsibilities

• Design and implement scalable, reliable data architectures on Google Cloud Platform (GCP).
• Define data models, warehouse structures, and data lake strategies using BigQuery and GCS.
• Establish best practices for schema design, partitioning, and clustering for performance optimization.
• Very strong experience in Python, SQL, PySpark.
• 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.
• 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 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

• Exposure to AI/ML data pipelines (Vertex AI / ADK).
• Experience with streaming frameworks (Kafka, Pub/Sub).
• Strong understanding of data warehousing concepts.

Job Profile(s)

• Data Engineer 3
• Relocation level: TBD

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.