Senior Engineer Data Business Intelligence - Bengaluru / Bangalore - confidential

    confidential
    confidential Bengaluru / Bangalore

    1 week ago

    Full time
    Description
    • 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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