SQL Data Engineer

$104,000 - $135,200/Yr

Insight Global - Englewood, CO

posted about 2 months ago

Full-time
Englewood, CO
Administrative and Support Services

About the position

Our telecommunication client is looking for a Data Engineer that is highly skilled in SQL to support their data insights environment providing analytics and dashboards for their Wi-Fi product line. This role is crucial in ensuring that the data infrastructure is robust and capable of delivering meaningful insights from large and complicated data sets. The allocation of this role is 80% SQL and 20% data visualization within Tableau, indicating a strong emphasis on data manipulation and reporting capabilities. The Data Engineer will be responsible for designing, developing, and supporting ETL data pipeline solutions primarily in an AWS environment. This includes maintaining scaled ETL processes that deliver insights and collaborating with engineering teams to discover and leverage new data being introduced into the environment. The role also involves supporting existing ETL processes written in SQL, troubleshooting and resolving production issues, and ensuring the integrity and performance of data systems. In addition to technical skills, the position requires strong communication abilities to interact with business partners, technical teams, and management. The Data Engineer will collect requirements, articulate data deliverables, and provide technical designs. They will also leverage both qualitative and quantitative data to gain a comprehensive understanding of the customer experience, working closely with the development team to prioritize features and ensure end-to-end delivery. The role demands a proactive approach to collecting, analyzing, and interpreting complex data sets from various sources, including product usage analytics, and developing comprehensive test plans to validate functionality and quality.

Responsibilities

  • Design, develop and support ETL data pipelines solutions primarily in AWS environment.
  • Design, develop, and maintain scaled ETL process to deliver meaningful insights from large and complicated data sets.
  • Collaborate with Engineering teams to discover and leverage new data being introduced into the environment.
  • Support existing ETL processes written in SQL, troubleshoot and resolve production issues.
  • Hands-on experience with orchestration of data pipelines.
  • Create and maintain report specifications and process documentation as part of the required data deliverables.
  • Troubleshoot and resolve data, system, and performance issues.
  • Communicate with business partners, other technical teams and management to collect requirements, articulate data deliverables, and provide technical designs.
  • Leverage both qualitative and quantitative data to get a complete picture of the customer experience.
  • Work closely with the development team to prioritize features, refine requirements, and ensure end-to-end delivery.
  • Collect, analyze, and interpret complex data sets from various sources, including product usage analytics.
  • Develop and execute comprehensive test plans to validate functionality and quality.

Requirements

  • Data engineering background (open to years of experience)
  • Advanced SQL
  • Experience with Tableau or similar data visualization tools like PowerBI, Looker, Qlik, etc.
  • Strong communication and ability to collaborate with business/product stakeholders
  • Networking, cable, or internet/Wi-Fi background
  • Proficiency in Python or Bash
  • Experience with AWS
  • Familiarity with version control (Git/GitLab)
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