Data Lake Project Manager

2 weeks ago


Remote, India Georgia IT, Inc. Full time
Job Title: Project Manager - Azure Data Lake

Job Summary:

Georgia IT, Inc. is seeking a skilled Project Manager with a strong background in Azure Data Lake to lead and manage data-driven projects. The ideal candidate will have experience in overseeing the implementation of Azure Data Lake solutions, coordinating between teams, and ensuring that projects are completed on time and within budget.


Key Responsibilities:
  • Lead and manage Azure Data Lake projects from initiation through completion.
  • Develop project plans, including scope, schedule, and budget.
  • Coordinate with stakeholders to define project requirements and objectives.
  • Manage project resources and allocate tasks to team members.
  • Monitor and report on project progress, risks, and issues.
  • Ensure compliance with company policies, standards, and best practices.
  • Facilitate communication between technical teams and business stakeholders.
  • Oversee the implementation of Azure Data Lake solutions, ensuring alignment with business goals.
  • Develop and maintain project documentation and reports.
  • Address and resolve project-related issues and challenges.

Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • A Master's degree or relevant certification is a plus.
  • Proven experience as a Project Manager, with a focus on Azure Data Lake or similar data management platforms.
  • Strong understanding of Azure Data Lake architecture, tools, and best practices.
  • Proficiency in project management methodologies (i.e., Agile, Scrum, Waterfall).
  • Excellent organizational and leadership skills.
  • Strong communication and interpersonal abilities.
  • Ability to manage multiple projects simultaneously and work under pressure.
  • Experience with project management software and tools.

Preferred Skills:
  • Azure Data Lake, Power BI.
  • Knowledge of data engineering and data analytics.
  • Experience in data migration and integration projects.

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