Data & Analytics Engineer

Netpace, Inc.

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience in Enterprise Data Warehouse technologies
  • Strong understanding of cloud data platform technologies (MS Azure)
  • Proficiency in Data Visualization tools (Power BI PRO)
  • Solid SQL programming skills for troubleshooting and tuning
  • Ability to lead small teams and build business relationships

Responsibilities

  • Design and develop solutions for dashboards and reports
  • Work with business teams to prototype analytics solutions
  • Architect data pipelines and ETL processes
  • Maintain enterprise data warehouse models
  • Tune and improve the performance of reporting solutions
  • Manage cloud-based data and analytics platform
  • Create Semantic Data Models for self-service reporting

Benefits

  • Collaborative work environment
  • Opportunities for professional growth and development
  • Access to cutting-edge technology and tools
  • Supportive team culture
  • Flexible work arrangements
Full Job Description
Duties: Our Information Services (ISS) department is looking for an outstanding Data & Analytics Engineer with 5+ years of experience working with data and is passionate about technology & architecture, loves hands-on development and wants to help build scalable, high performance state of the art platform that will and help drive the FireEye Digital Transformation. The right candidate for this position has a proven track record as a consultant with strong technical skills, demonstrates an ability to lead small teams and can communicate and build business relationships.

Responsibilities

Design and develop the end to end solution for the deployment of dashboards and reports to various stakeholders Work directly with the business teams to rapidly prototype analytics solutions based upon business requirements Architect data pipelines and ETL processes to connect with various data sources Design and maintain enterprise data warehouse models Tune and improve the performance of reporting solutions Manage cloud based data & analytics platform (MS Azure) Create Semantic Data Models as the foundation for self-service enterprise reporting

Skills:

Requirements

Minimum of five years in working with Enterprise Data Warehouse technologies including Multi-Dimensional Data Modeling, Data Architectures or other work related to the construction of enterprise data assets Proven understanding and demonstrable implementation experience of cloud data platform technologies (Microsoft Azure, SQL Data Warehouse, Azure Analysis Services) Experience with Data Visualization tools and technologies (Power BI PRO) Proven track record driving rapid prototyping and designs Strong SQL programming background with the ability to troubleshoot and tune the code Takes ownership of problems and proactively resolves technical problems, ensuring that technical solutions continue to meet business requirements and aligns with the vision, mission, objectives, strategy of the team Highly motivated, goal driven, innovative, curious and open minded, Fun to work with, team player

Additional Qualifications

Ability to spend extended periods of time on computer equipment and/or in meeting/classroom environments Must be able to speak and listen clearly on telephone Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state and local standards

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