cloudneeti | Jobs | Sr . Data Engineer | BigDataKB.com | 01-02-22

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    Job Location: Bangalore/Bengaluru

    Zscaler IT department seeks a Sr. Data Engineer to support IT, Sales, Finance/FPA Departments. This position will work closely with key business partners across these departments to drive data visualizations (reports/dashboards) to bring insight and answers to business problems/KPIs.

    Responsibilities/What You ll Do:

    • Collaborate with stakeholders to understand, define and document business applications, data sources/relationships, and needs (metrics, dimensions, charts and dashboards).
    • Create KPIs, Reports, dashboards, and Analysis.
    • Analyze and Identify new data sources as needed per stakeholder requirements.
    • Assist in the design and documentation of data infrastructure and technologies.

    Qualifications

    Qualifications/Your Background:

    • 6 years of BI data warehousing design / development / implementation experience and expertise in ETL/ELT development and data modeling (Dimensional/ERD).
    • 6 years experience with databases like Snowflake, Teradata, MySQL etc with strong hands-on knowledge of SQL.
    • Experience with creating data warehouses including Star/Snowflake schema, database snapshots etc and working with large-scale data set.
    • 3 years experience with contemporary data visualization technology (Tableau, Periscope, Domo, etc.)
    • Experience with contemporary business applications (Salesforce.com, NetSuite, Zendesk, Marketo etc.) and their reporting tools (and familiar with data model) is a plus.
    • Create queries to support data analysis and ad hoc information requests.
    • Ability to do end-end RCA and come up with solutions.
    • Create and maintain data dictionary and documentation.
    • Matillion and Snowflake experience preferred.

    Education

    • BA/BS degree in Finance, Accounting, Business, Computer Science, Engineering and/or similar discipline with analytical bias.

    Other Skills

    • Ability to meet tight deadlines, prioritize workload and achieve effective results in a fast-paced, dynamic, ever-growing and often ambiguous environment.
    • Strong Analytical and interpersonal skills, including written and oral communication skills.
    • Collaborate with the other team members across different teams.

     

    Apply Here

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