Padmi
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semiconductor foundry · chip fabrication

Senior Engineer Data Business Intelligence

BangalorePosted 16 months ago
Infrastructure And DatabasesSeniorFull Time
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Essential Responsibilities: Develop business intelligence reports for manufacturing and business teams Develop high-performance, data-driven systems in a distributed infrastructure Leverage massive data sets for modeling, recommendations, and insight generation Mine large data sets to help engineers and business users gather insights and make data-driven decisions Develop data models for efficient query and BI tool performance Work directly with project stakeholders and collect business requirements Work on cross functional global teams to execute on large scale global BI projects Maintain and support existing BI infrastructure in a highly complex and fast paced environment Required Qualifications: Education/Experience - BS in Computer Science, Mathematics, Data Analytics, or equivalent plus minimum 2-4 years of relevant experience, MS plus minimum of 1-3 years of relevant experience, or PhD plus 0-1 years of relevant experience. Language Fluency - English (Written & Verbal) Strong experience in SQL and/or PL/SQL Strong understanding of data warehouse concepts such as star schema and normalization Minimum of 3 years experience in Power BI Skilled in using office software suites (eg. Excel, Power Point, M365, etc.) Ability to work independently and as part of a team Effectively communicate with stakeholders and team members Preferred Qualifications: Desire to bring data-driven decision-making and analytics to improve our products MS in Computer Science, Mathematics, Data Analytics, or equivalent Experience with other analytical tools supporting data analysis such as QlikView or QlikSense Expert in SQL Strong experience in database design & development including use of PL/SQL, stored procedures, custom functions, and query optimization Proficiency in designing data models in a DBMS environment Proficiency in creating database objects such as tables, views, materialized views, custom functions, and stored procedures Experience using cloud native database technologies (eg. Snowflake, Athena, Redshift, etc.) Experience leading and managing small to medium sized projects

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