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. Responsibilities: - Provide L2 support in incident, request, change and problem management related to database operations. - Provide operational support covering 24/7 and participate in Major incidents. - Ensure SLA for incidents and service requests are met with high quality of work. - Ensure critical metrics, such as breach case target, MTTR and first level resolution target is met. - Install and upgrade database systems, apply patches and implement changes when required. - Diagnose and resolve database errors ensuring high availability of database systems. - Manage databases access, backups and ensure compliance to database and security standards. - Monitor database performance proactively and perform analysis of cases to prevent recurring issues. - Review and improve database monitoring when required. - Develop processes and operation procedures. - Build and manage database reports, visualizations, and dashboards related database operations. Requirements: - Bachelor's, Master's degree or equivalent experience Computer Science, Electrical & Electronics/Computer/Software Engineering, Information Systems or related fields. - Good understanding and hands-on experience in the following areas will be advantageous: Microsoft SQL Server , Oracle Database , Linux and Windows operation systems , p rogramming and scripting languages such as Java, PowerShell and Python. - Effective oral and written communication skills - Flexible to work on any shift. 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 hrsupport_my@micron.com 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.

Role Description We at Coforge are hiring a Senior Data Analytics Engineer (Power BI) (#19748) with the following skill set. - Lead the migration of dashboards, reports, and analytics solutions from ThoughtSpot to Power BI while aligning with enterprise BI standards. - Design, develop, and optimize Power BI reports, reusable data models, semantic layers, and self-service analytics capabilities. - Collaborate with data engineering and business teams to ensure reliable data pipelines, governance, usability, and enterprise reporting performance. - Drive BI best practices, stakeholder enablement, documentation, training, and Agile delivery across analytics initiatives. Qualifications - Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, or equivalent practical experience. - 5+ years of experience in BI, reporting, or data analytics development. - Strong expertise in Power BI, including DAX, Power Query, data modeling, report optimization, and performance tuning. - Solid SQL skills with hands-on experience querying Azure Databricks environments. - Strong understanding of data visualization best practices, storytelling with data, and business-focused reporting. - Experience with BI governance, security, role-based access, and enterprise analytics best practices. - Familiarity with Power BI Service administration, APIs, deployment pipelines, and CI/CD for BI ecosystems. - Experience working in Agile/Scrum environments, including sprint planning, backlog management, and collaborative ceremonies. - Exposure to Azure cloud data integration services such as Azure Data Factory or Synapse and modern data stack concepts including dbt. - Strong communication, stakeholder management, and analytical skills with the ability to translate complex insights into business-friendly narratives. Requirements - Experience with ThoughtSpot for dashboards, reports, or search-driven analytics. - Familiarity with insurance domain processes, terminology, and analytics use cases. - Exposure to AI/ML-driven insights integrated into dashboards and reporting solutions. - Experience working with Databricks medallion architecture and semantic layer concepts. Company Description At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

• Diseñar e implementar arquitecturas de datos (Data Lake, Data Warehouse, Lakehouse) alineadas a las necesidades del negocio. • Definir modelos de datos (conceptual, lógico y físico) para soportar analítica y operación. • Diseñar e implementar soluciones de integración de datos (ETL/ELT, APIs, streaming). • Evaluar y seleccionar tecnologías de almacenamiento y procesamiento de datos en entornos cloud. • Asegurar la calidad, consistencia, seguridad y gobierno de los datos. • Liderar iniciativas de modernización de plataformas de datos y migración a la nube. • Optimizar el rendimiento y costo de las plataformas de datos. • Colaborar con equipos de ingeniería, analítica, BI y negocio para traducir requerimientos en soluciones de datos. • Definir estándares y mejores prácticas de arquitectura y gobierno de datos. • Documentar arquitecturas, flujos y lineamientos técnicos.

• Atuar na coleta, processamento e armazenamento de grandes volumes diários de dados. • Garantir alta disponibilidade nas diferentes etapas dos pipelines de dados. • Prover mecanismos eficientes e escaláveis para a leitura dos dados armazenados. • Desenvolver APIs e bibliotecas para envio de eventos padronizados pelas diferentes soluções que compõem a plataforma Méliuz. • Configurar mecanismos para monitoramento das soluções desenvolvidas. • Desenvolver e executar rotinas de ETL/ELT. • Estar atento a melhoria contínua no fluxo de trabalho do time. • Auxiliar em mentoria técnica para disseminação de conhecimento dentro do time.