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. - Responsible for both product development and supporting high volume manufacturing of SSD. - Support for SSD failure analysis from NPI to HVM stage. - Perform manufacturing yield evaluation and data analysis. - Perform detailed electrical and physical failure analysis and work with other departments to resolve SSD related issues. - Troubleshooting failure from customer return and provide solutions to fix the problems. Requirements: - Bachelor or Masters degree in Electrical/Electronic Engineering or Computer engineering. - Relevant experience in SSD industry will be an advantage. - Relevant experience with computer hardware, knowledge of storage interface such as SATA, SAS will be an advantage. - Proficiency in programming languages such as C, C++, Python, Perl and etc. - Proficiency in using AI technology (Claude, Copilot) in improving productivity. efficiency and data analysis. 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.

• Help build the next generation credit card processing platform that powers real-time financial transactions • Design, optimize, and support high volume transaction processing systems in a 24/7 production environment • Build and support operational systems responsible for transaction processing, reconciliation, data integrity, and reporting • Design, build, and maintain batch interfaces, backend services, and API integrations supporting transaction processing and operational reporting • Demonstrable fluency in utilizing AI tools and optimizing workflows to incorporate agentic AI • Support and enhance existing data pipelines and reporting frameworks using Microsoft SQL and other development tools • Lead the resolution of ambiguous or complex technical problems, applying strong analytical and problem-solving skills to deliver effective solutions • Write clean, maintainable, and well-tested code, while contributing to strong engineering practices and testing standards • Follow secure coding standards and ensure all systems comply with data protection, security, and privacy requirements • Translate business requirements into scalable technical solutions, clearly communicating trade-offs between speed, scalability, and maintainability • Contribute to the growth of the engineering team through knowledge sharing, documentation, and technical demonstrations

Role Description Cint is seeking a Senior BI Data Architect (Infrastructure & Optimization) to lead the technical evolution of our data platform for a period of 6-8 Months Fixed-Term Contract. This is a hands-on architecture role at the intersection of data engineering and business intelligence — one where your decisions will directly shape how the business operates and makes decisions at scale. - Own the design and implementation of our Databricks Lakehouse. - Drive the migration of complex legacy SQL into clean, governed pipelines. - Build the semantic layer that powers self-service analytics in Omni. - Design and implement the Unity Catalog structure — Catalogs, Schemas, and Volumes. - Lead the migration of complex business logic from legacy systems into a unified Databricks Lakehouse. - Architect our internal transformation framework using open-source tooling. - Serve as the resident query performance expert. - Govern our Databricks compute footprint through strategic application of various techniques. - Build and maintain CI/CD pipelines to automate testing, validation, and deployment of data models. - Architect the semantic layer in Omni for self-service reporting. - Occasionally take on the BI Developer role, building executive-level dashboards. - Partner with cross-functional stakeholders to translate business questions into scalable data solutions. - Translate performance and cost metrics into clear recommendations for senior leadership. Qualifications - 8+ years in Data Engineering or Data Architecture, with deep, hands-on experience in the Databricks ecosystem. - Expert-level SQL and distributed computing skills. - Demonstrated experience in query optimization and data platform migration. - Proven experience building data transformation workflows using Delta Live Tables or custom Python/SQL Spark pipelines. - Strong command of dimensional modeling (Star and Snowflake schemas). - Hands-on Unity Catalog experience, including permissions management. - Fluency with Delta Lake internals. - Hands-on experience with Omni or a comparable modern BI semantic layer. - Experience with CI/CD pipelines and version control workflows. Requirements - You think in systems, not just queries. - You are comfortable navigating ambiguity. - You can distill complex technical trade-offs into language that lands with non-technical senior stakeholders. - You are self-directed and ownership-driven. - You can balance the competing needs of different departments. Benefits - #LI-Remote - #LI-JM1 Company Description Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. - We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®. - Cint acquired Berlin-based GapFish and US-based Lucid, enhancing our global platform. - Cint Group AB (publ), listed on Nasdaq Stockholm, has teams across many global offices.

Role Description Cint is seeking a Senior BI Data Architect (Infrastructure & Optimization) to lead the technical evolution of our data platform for a period of 6-8 Months Fixed-Term Contract. This is a hands-on architecture role at the intersection of data engineering and business intelligence — one where your decisions will directly shape how the business operates and makes decisions at scale. You will own the design and implementation of our Databricks Lakehouse, drive the migration of complex legacy SQL into clean, governed pipelines, and build the semantic layer that powers self-service analytics in Omni. If you are energized by performance optimization, dimensional modeling, and infrastructure that lasts — this role was built for you. Responsibilities - Design and implement the Unity Catalog structure — Catalogs, Schemas, and Volumes — to create a governed, secure, and well-documented data environment that serves as a Single Source of Truth across the organization. - Lead the migration of complex business logic from legacy systems into a unified Databricks Lakehouse, refactoring tightly coupled SQL into modular, maintainable, and performant code. - Architect our internal transformation framework using open-source tooling (Delta Live Tables or custom Python/SQL Spark pipelines), building scalable pipelines without reliance on managed SaaS platforms. - Serve as the resident query performance expert — analyze Spark execution plans and Spark UI to diagnose bottlenecks, reduce data skew, and optimize join strategies on large-scale datasets. - Govern our Databricks compute footprint through strategic application of Z-Ordering, Liquid Clustering, partition design, and Serverless SQL Warehouse configurations to maximize performance per dollar. - Build and maintain CI/CD pipelines (GitHub Actions or equivalent) to automate testing, validation, and deployment of data models. - Architect the semantic layer in Omni — designing data models built for self-service reporting with sub-second dashboard latency. - Occasionally take on the BI Developer role, building executive-level dashboards that surface clear, actionable narratives from complex datasets. - Partner with cross-functional stakeholders across Finance, Sales, Product, Marketing, and Trust & Safety to translate business questions into scalable data solutions. - Translate performance and cost metrics into clear recommendations for senior leadership, balancing engineering rigor with business impact. Qualifications - 8+ years in Data Engineering or Data Architecture, with deep, hands-on experience in the Databricks ecosystem (Unity Catalog, Delta Lake, SQL Warehouses). - Expert-level SQL and distributed computing skills — you can diagnose exactly why a query is slow and implement the fix across Spark execution plans, joins, and data skew scenarios. - Demonstrated experience in query optimization and data platform migration, including refactoring legacy SQL and migrating from systems such as Snowflake, Redshift, or SQL Server into a Lakehouse architecture. - Proven experience building data transformation workflows using Delta Live Tables or custom Python/SQL Spark pipelines. - Strong command of dimensional modeling (Star and Snowflake schemas) and how to apply these patterns within a Lakehouse environment. - Hands-on Unity Catalog experience, including permissions management, data lineage, and catalog governance. - Fluency with Delta Lake internals — OPTIMIZE, Z-Order, Liquid Clustering, VACUUM, and file management strategies. - Hands-on experience with Omni or a comparable modern BI semantic layer (Looker, Metabase, Superset) — you can build and govern a semantic model, not just consume one. - Experience with CI/CD pipelines and version control workflows (Git / GitHub Actions or similar). Requirements - You think in systems, not just queries — you design for reuse, performance, and longevity. - You are comfortable navigating ambiguity and can move from whiteboard to working pipeline without waiting for perfect specifications. - You can distill complex technical trade-offs into language that lands with non-technical senior stakeholders. - You are self-directed and ownership-driven — you treat the data platform as your own product. - You can balance the competing needs of different departments while maintaining a unified data standard. Nice to Have - Experience with dbt Core (OSS) or a similar SQL-based transformation framework; familiarity with transformation layer best practices is a strong asset. - Familiarity with Databricks Genie Spaces or AI/BI features for natural language querying. - Experience supporting embedded analytics or multi-tenant reporting environments. - Background in the digital insights, market research, or programmatic technology space. Benefits - #LI-Remote - #LI-JM1 Company Description Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)