Micron Technology
Technology
SRENGINEER,DATA,SMAI
Neural analysis suggests this role is
optimal for Senior candidates.
“SR ENGINEER, DATA, SMAI at Micron Technology. Skills: Data architecture, ETL/ELT pipelines, BigQuery, Python. Design scalable data architectures on GCP. Implement scalable data architectures on GCP”
Industry & Context.
Performance optimization; Cost optimization; Fault tolerance
What They're Looking For.
Must Have
5+ years Python, 5+ years SQL, 5+ years PySpark
Nice to Have
Exposure to AI/ML data pipelines, Experience with streaming frameworks, Understanding of data warehousing concepts, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, dbt Certified certification
What You'll Do.
Design scalable data architectures on GCP
Implement scalable data architectures on GCP
Design reliable data architectures on GCP
Implement reliable data architectures on GCP
Define warehouse structures
Define data lake strategies
Establish best practices for schema design
Establish best practices for partitioning
Establish best practices for clustering
Build ETL/ELT pipelines using GCP services
Maintain ETL/ELT pipelines using GCP services
Develop batch data processing pipelines
Develop real-time data processing pipelines
Implement CI/CD pipelines for data workflows
Ensure high performance in pipelines
Ensure reliability in pipelines
Ensure fault tolerance in pipelines
Design data migration strategies
Execute data migration strategies
Integrate multiple data sources
Handle large-scale data ingestion
Implement data validation
Implement data monitoring
Implement data quality checks
Ensure adherence to data governance policies
Ensure adherence to data security policies
Ensure adherence to data compliance policies
Build frameworks for data lineage
Build frameworks for data observability
Optimize BigQuery queries
Optimize BigQuery storage costs
Optimize pipeline performance
Implement query optimization
Implement cost-efficient designs
Translate business requirements into technical solutions
How You'll Work.
Team & Collaboration
Work with Data Scientists; Work with Data Analysts; Work with Product teams; Work with Business teams
Full 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. **_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 framewo
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