Sr. Data Engineer/ Sr. PowerBI Developer

5 - 9 years

7.0 - 11.0 Lacs P.A.

Chennai

Posted:2 months ago| Platform: Naukri logo

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Skills Required

Cloud computingmetadataSAPAnalyticalBusiness analyticsPackagingVideo conferencingCustomer servicemicrosoftInformation technology

Work Mode

Work from Office

Job Type

Full Time

Job Description

Company Overview 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 Doctorate (Academic) Degree and 0 years related work experience; Masters Level Degree and related work experience of 3 years; Bachelors Level Degree and related work experience of 5 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: Extremely strong SQL skills Foundational knowledge of the following areas: Metadata management Master Data Management Data Governance Data Analytics Good to have technical knowledge on Data Bricks/Data Lake/Spark/SQL. Experience in configuring SSO(Single Single-On), RBAC, security roles on an analytics platform. SAP functional knowledge is a plus Microsoft certifications related to Microsoft Fabric/Power BI or Azure/analytics are a plus. Good understanding of requirements and converting them into data warehouse solutions

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