SR ENGINEER, DATA,SMAI

Micron Technology
Hyderabad
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Translating requirements","Collaboration"]

Design and implement scalable data architectures on Google Cloud Platform, including data models, BigQuery warehouses, and GCS data lake strategies. Build and maintain end-to-end ETL/ELT pipelines (batch and real-time) using BigQuery, Workflows, Dataproc, Cloud Run/Functions, Pub/Sub, and Composer. Optimize Spark/PySpark and BigQuery for performance and cost, and deliver CI/CD with Cloud Build/Terraform while ensuring data governance, monitoring, lineage, and observability.

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FursaFursa
Micron Technology
Micron Technology
2 months ago

SR ENGINEER, DATA,SMAI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Design and implement scalable data architectures on Google Cloud Platform, including data models, BigQuery warehouses, and GCS data lake strategies. Build and maintain end-to-end ETL/ELT pipelines (batch and real-time) using BigQuery, Workflows, Dataproc, Cloud Run/Functions, Pub/Sub, and Composer. Optimize Spark/PySpark and BigQuery for performance and cost, and deliver CI/CD with Cloud Build/Terraform while ensuring data governance, monitoring, lineage, and observability.
Location: Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement scalable, reliable data architectures on GCP.
  • •Define data models and data lake/warehouse strategies using BigQuery and GCS, including best practices for schema, partitioning, and clustering.
  • •Develop batch and real-time ETL/ELT pipelines using GCP services, ensuring high performance, reliability, and fault tolerance.
  • •Implement CI/CD pipelines for data workflows using Cloud Build and Terraform.
  • •Set up data governance and security/compliance practices, including validation, monitoring, quality checks, and frameworks for data lineage and observability.

Key Requirements

  • •Design and implement scalable data architectures on Google Cloud Platform (GCP).
  • •Define data models, warehouse structures, and data lake strategies using BigQuery and GCS.
  • •Build and maintain end-to-end ETL/ELT pipelines on GCP using BigQuery, Workflow, Dataproc, Cloud Run, Cloud Functions, Pub/Sub, and Cloud Composer.
  • •Very strong experience with Python, SQL, and PySpark.
  • •Optimize BigQuery queries and storage costs, and tune Spark/PySpark jobs in Dataproc environments while ensuring reliability, fault tolerance, and data quality checks.
Experience:Big DataCloudData warehousing
Skills:Translating requirementsCollaboration
Tech Stack:Google Cloud Platform (GCP)GCPBigQueryGCSPythonSQLPySparkWorkFlowDataprocCloud RunCloud FunctionsPub/SubCloud ComposerCI/CDCloud BuildTerraformCloud MonitoringCloud LoggingKafkaVertex AI

Company Brief

Micron Technology
Designs and manufactures semiconductor memory and storage solutions, including DRAM, NAND, and NOR flash, for computing, networking, mobile, and automotive markets worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Boise, United States
Founded: 1978
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Glassdoor: 3.7
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