Data Engineer: Analytics & Visualization Specialist
Posted 4
views
Summary
TekStaff (an IT staffing firm) is placing a Data Engineer with its client in Toronto to lead analytics and visualization projects from technical design through deployment. Day-to-day work centers on PySpark and SQL for large-dataset analysis, MS Azure cloud, and building dashboards in Tableau and Power BI.
Unlock the power of data as a Data Engineer with TekStaff, specializing in analytics and visualization. Drive projects focusing on PySpark, SQL, and cutting-edge cloud technologies.
TekStaff's client seeks a Data Engineer adept at MS Azure and keen on deriving insights from data. This role leads the technical side of projects from design to deployment, requiring expertise in tools such as Tableau and Power BI. Effective documentation and adherence to SDLC are vital as you collaborate with data management practices.
Key Responsibilities:
• Lead projects through technical design and deployment
• Participate in system analysis and specification sessions
• Document designs according to SDLC practices
• Analyze large datasets to extract and communicate insights
• Engage in automation and data visualization tasks
Requirements:
• Solid experience in cloud environments, especially MS Azure
• Proficiency in PySpark, SQL, Tableau, and Power BI
• Competence in reading technical documentation
• Strong communication and analytics skills
• Enthusiasm for data mining and algorithm development
Bring your passion for data and analytics to a stimulating role with TekStaff.
TekStaff's client seeks a Data Engineer adept at MS Azure and keen on deriving insights from data. This role leads the technical side of projects from design to deployment, requiring expertise in tools such as Tableau and Power BI. Effective documentation and adherence to SDLC are vital as you collaborate with data management practices.
Key Responsibilities:
• Lead projects through technical design and deployment
• Participate in system analysis and specification sessions
• Document designs according to SDLC practices
• Analyze large datasets to extract and communicate insights
• Engage in automation and data visualization tasks
Requirements:
• Solid experience in cloud environments, especially MS Azure
• Proficiency in PySpark, SQL, Tableau, and Power BI
• Competence in reading technical documentation
• Strong communication and analytics skills
• Enthusiasm for data mining and algorithm development
Bring your passion for data and analytics to a stimulating role with TekStaff.