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The Role
Provides L2 production support for enterprise data platforms and ETL/ELT pipelines. Maintains SSIS, Snowflake, BigQuery, and cloud-based data integration workflows; troubleshoots incidents, performs root-cause analysis, tunes queries and pipelines, validates data quality, and improves automation. Collaborates with data engineers, data scientists, and business teams to support analytical workloads, data governance, and reliable data availability across on-premises and cloud environments.
Summary Generated by Built In
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.
Broad knowledge and experience in:
Above average skills in:
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 [email protected]
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.
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.
Broad knowledge and experience in:
- Expertise in the field of Data Engineering, Business Intelligence, and Advanced Analytics.
- Supporting, and maintaining ETL/ELT processes using SSIS, Snowflake, and cloud-native data integration technologies.
- Proficient in writing advanced SQL queries in both SQLServer and Snowflake.
- Proficient in debugging ETL packages.
- Good knowledge of databases, data warehousing, dimensional data modeling, and data governance practices.
- Familiarity with cloud-based systems for data engineering, especially Google Cloud Platform (GCP) and BigQuery.
- Experience with workload automation, job scheduling, and monitoring tools such as Active Batch & RMJ.
- Supporting Business enterprise data pipelines and ensuring data availability, reliability, and performance.
- Experience in production support, handling incidents, identifying root causes, and resolving problems.
- Knowledge of building APIs and integrating data across multiple applications and platforms.
- Experience with Agile development methodologies and DevOps practices.
- Resolving transformation requirements and developing processes to bring structured and unstructured data from source systems into target data models.
- Working with Data Engineers, Data Scientists, and Business teams to support data quality, data preparation, and analytical workloads.
- Crafting and implementing automation solutions to improve operational efficiency and reduce manual intervention.
- Leverage AI-assisted tools and AI-enabled ways of working to improve incident resolution, root cause analysis, automation, productivity, and continuous service improvement.
- Knowledge in Finance domain is a plus.
- 6-10 years of experience in Data Engineering and Production Support, supporting enterprise data platforms and data integration workflows.
Above average skills in:
- Delivering L2 production assistance for enterprise data engineering platforms and ETL/ELT pipelines.
- Developing and supporting SSIS (SQL Server Integration Services) packages, covering fixing problems, performance tuning, and issue resolution.
- Building and assisting with data ingestion and integration operations through Coalesce.
- Applying AI-assisted tools to solve and diagnose incidents rapidly, uncover underlying causes, and improve support efficiency.
- Extensive experience with cloud services on Google Cloud, including BigQuery, data ingestion, processing, and analytics.
- Proven background in SQL, query optimization, data validation, and database performance tuning.
- Programming and automation skills using Python.
- Monitoring, fixing, and optimizing data pipelines across on-premises and cloud environments.
- Data analysis, data quality validation, reconciliation, and operational support.
- Excellent communication, and collaborator skills in a 24x7 operational support environment.
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 [email protected]
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.
Skills Required
- 6-10 years of experience in data engineering and production support
- Expertise in data engineering, business intelligence, and advanced analytics
- Experience supporting and maintaining ETL/ELT processes
- Experience with SSIS and debugging SSIS packages
- Proficiency writing advanced SQL queries in SQL Server and Snowflake
- Knowledge of databases, data warehousing, dimensional data modeling, and data governance
- Familiarity with Google Cloud Platform and BigQuery
- Experience with workload automation, job scheduling, and monitoring tools such as ActiveBatch and RMJ
- Experience supporting enterprise data pipelines and ensuring data availability, reliability, and performance
- Experience with production support, incident handling, root-cause analysis, and problem resolution
- Knowledge of building APIs and integrating data across applications and platforms
- Experience with Agile development methodologies and DevOps practices
- Experience transforming structured and unstructured data into target data models
- Experience with data quality, data preparation, reconciliation, and analytical workloads
- Experience developing automation solutions
- Experience providing L2 production assistance for data engineering platforms and ETL/ELT pipelines
- Experience with Coalesce for data ingestion and integration operations
- Extensive experience with Google Cloud data ingestion, processing, and analytics
- Proven experience with SQL, query optimization, data validation, and database performance tuning
- Programming and automation skills using Python
- Excellent communication and collaboration skills in a 24x7 operational support environment
- Knowledge of the Finance domain
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The Company
What We Do
We are a world leader in innovative memory solutions that transform how the world uses information to enrich life for all. For over 45 years, our company has been instrumental to the world’s most significant technology advancements, delivering optimal memory and storage systems for a broad range of applications.
Why Work With Us
Global opportunities, team member development, and career advancement—Micron invests in you and celebrates your skills, a growth mindset, and the tenacity to strive. At Micron, everyone innovates.
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Micron Technology Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Micron recognizes the importance of maintaining a healthy work-life balance to foster a culture of collaboration, innovation and meet the needs of the business. In alignment with these values, we offer four flexible work arrangement options
Typical time on-site:
Flexible
