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Data Engineer
Data EngineerExperis • Houston, Texas, US
Data Engineer

Data Engineer

Experis • Houston, Texas, US
30+ days ago
Job type
  • Full-time
Job description

Data Engineer, Retail Business Intelligence

  • Contract with extension potential C2H
  • Hybrid in Houston, TX
  • W2 only

SUMMARY

Join the Retail Business Intelligence team to strengthen the BI capabilities of company retail.

DUTIES

  • Gather large and complex data sets to meet business requirements.
  • Re-designing data marts for scalability and optimization.
  • Ensure data architecture supports existing and future requirements of evolving business model
  • Identify, design, and implement process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Create and maintain documentation for each step in the data lifecycle
  • Develop and maintain operational dashboard and executive-level reporting using tools like Tableau, or Power BI
  • Interact with functional business units to analyze, gather, and prioritize business and reporting requirements
  • Partner with the Enterprise Data and Analytics leaders and teams to manage the key data processes, tools, and architectures needed to deliver confidence in regular reports.
  • Collaborate with Enterprise Data and Analytics team to implement data management, data quality best practices and standards
  • Partner with business leaders to develop, monitor, and report on marketing tests for new or enhanced products and campaigns
  • Provide ad hoc report for Retail organization for experiments in market.
  • Hands on development of data models in Oracle, AWS and data visualizations.
  • Formulate and provide status updates on project plans and schedules to meet goals / objectives
  • REQUIREMENTS

  • Bachelor's degree
  • Gas or power industry experience with knowledge of the retail electricity market is a must
  • 3+ years in one of programming languages like SAS / R / Python is a must
  • 4+ years of professional experience in business intelligence and data analysis
  • 3+ years of SQL
  • 2+ years building dashboard and using Tableau / Power BI
  • 1+ years in AWS and big data distributed ecosystems
  • Experience with dimensional modeling and improving data reliability and data quality
  • Data models and data pipelines
  • Good understanding of cloud technologies
  • Good understanding of relational and non-relational databases
  • Experience working with large datasets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • A successful history of manipulating, processing, and extracting value from large, disconnected datasets
  • Strong organizational skills and comfort interacting with different lines of business, IT, and senior management
  • Comfortable with ambiguity; ability to work with incomplete data or open-ended questions, and translate into actionable items
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