Data Engineer
Tekshapers Inc
Mountain View, CA, United States
7 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Data Analysis
Business Systems
Data Architecture
Data Warehousing
Python (Programming Language)
NoSQL
Salesforce.Com
Amazon Connect
Data Processing
Sql Optimization
Information Technology
+1 more
Stream Processing
Requirements
- 5+ years of work experience involving quantitative data analysis
- 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 and schema design
- Proficient 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
- Ability to operate effectively in a fast-paced environment with minimal hand-holding. Demonstrates strong self-directed learning-able to get up to speed by digging into documentation, conducting independent research, and proactively reaching out across teams to ask the right questions and drive clarity.
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