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# Data Engineer

- **Company:** Tekshapers Inc
- **Location:** Mountain View, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** 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, Stream Processing
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/e29512bb-e0de-41f8-b611-f04430a5b2c0

## About the Role

* 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.