Sr. Data Engineer-Microsoft Fabric

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.

Job Description/Preferred Qualifications

As a Sr. Data Engineer, part of Data Sciences and Analytics team, you will play a key role for KLA’s Data strategy principles and technique. As part of the centralized analytics team we will help analyze and find key data insights into various business unit processes across the company. You will be providing key performance indicators, dashboards to help various business users/partners to make business critical decisions. You will craft and develop analytical solutions by capturing business requirements and translating them into technical specifications, building data models and data visualizations.

Responsibilities:

• Design, develop and deploy Microsoft Fabric solutions, Power BI reports and dashboards

• Collaborate with business stakeholders to gather requirements and translate them into technical specifications

• Develop data models and establish data connections to various data sources. Use expert knowledge on Microsoft fabric architecture, deployment, and management

• Optimize Power BI solutions for performance and scalability

• Implement best practices for data visualization and user experience

• Conduct code reviews and provide mentorship to junior developers

• Manage permissions and workspaces in Power BI ensuring secure and efficient analytics platform

• Conduct assessments and audits of existing Microsoft Fabric environments to identify areas for improvement

• Stay current with the latest Fabric and Power BI features and updates

• Troubleshoot and resolve issues related to Fabric objects, Power BI reports and data sources

• Create detailed documentation, including design specifications, implementation plans, and user guides

Minimum Qualifications

• Bachelor's Level Degree and related work experience of eight (8) years

• Proven experience as a Power BI Developer, with a strong portfolio of Power BI projects

• In-depth knowledge of Power BI, including DAX, Power Query, and data modeling

• Experience with SQL and other data manipulation languages

• In-depth knowledge of Microsoft Fabric and Power BI, including its components and capabilities

• Strong understanding of Azure cloud computing, data integration, and data management

• Excellent problem-solving skills and the ability to work independently and as part of a team

• Excellent Technical Problem Solving skill, performance optimization skills

• Specialist in SQL and Stored procedures with Data warehouse concepts

• Performed ETL Processes (Extract, Load, Transform)

• Exceptional communication and interpersonal skills

• Expert knowledge of cloud and big data concepts and tools. – Azure, AWS, Data Lake, Snowflake, etc.

Nice to have:

• Expert level SQL skills

• Foundational knowledge of the following areas:

  • Metadata management

  • Master Da