Remote Data Analytics Engineer with verification

About NetskopeToday, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events (pre and hopefully post-Covid) and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.About the role:As a Data Analytics Engineer on the Data & Analytics team at Netskope, you’ll be solving problems at every level of the data vertical, from figuring out which data source to pull in, doing the transformations in DBT and ultimately presenting the results in Looker. This involves working with multiple external orgs to understand their data needs, and figuring out the best way to get them the answers that they're looking for.Responsibilities:

• Extract data from various source systems inside and outside of Netskope and load it into our Snowflake data warehouse.
• Transform data in the warehouse using SQL and DBT to create a data model that is consumable by Looker and other visualization tools.
• Ensure timeliness and quality of data.
• Work with the BI team on requirements to solve business data needs.

Requirements:

• 3+ years experience working with DBT
• 3+ years experience working with SQL
• 3+ years experience with data visualization software
• 2+ years experience extracting data with Python
• Experience with ETL processes in a reporting environment
• Strong business intuition and ability to understand complex business systems
• Looker experience a plus
• Airflow experience a plus

Education:

• Bachelor's degree (BSc) preferred.

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