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Tech Data Engineer //

Salary undisclosed

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Tech Data Engineer 01 Position

Mountain View, CA (3 days Hybrid Onsite)

Interview Process: Hackerrank and 2 Rounds of Interview

Required Skills:

5+ years of work experience involving quantitative data analysis is preferred

Technical undergraduate degree (Engineering, Computer Science, Statistics, Analytics etc.) or equivalent experience

Advanced SQL skills to get the data you need from a data warehouse and perform data segmentation and aggregation from scratch.

Data query and data processing tools/systems (e.g., relational, NoSQL, stream processing)

Familiarity with AWS (Redshift, Athena, and AWS core concepts)

Familiarity with Data modeling

Familiarity in analytical and data modeling tools, such as Python, R, or PyCharm

Self-starter who attacks the problem with excellent critical-thinking skills, creativity, and end-to-end quantitative and qualitative analysis

Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders

High level of professionalism, passion, strong organization, time management and task prioritization skills with attention to detail and bias to action

Inquisitive, curious, and bias towards learning and continuous improvement

Ability to grasp quickly and get up to speed on instrumentation, clickstream data, data architecture, and complex business system interactions such as Salesforce, Amazon Connect, EWFM preferred

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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