Required Skills

Project Manager

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 14th Feb 2025

JOB DETAIL

Project Planning and Execution:

•            Develop and maintain project plans, timelines, and resource allocation plans for data engineering projects.

•            Lead cross-functional teams to deliver projects on time and within budget.

•            Coordinate with stakeholders to gather requirements and ensure project alignment with business objectives.

Technical Leadership:

•            Provide technical guidance and oversight to data engineering teams, including database engineers, data analysts, and business analysts.

•            Collaborate with data engineers to design and implement data warehousing solutions using Snowflake.

•            Ensure data quality, security, and compliance with industry standards.

Agile Project Management:

•            Apply Agile methodologies (Scrum, Kanban, etc.) to manage data engineering projects.

•            Facilitate daily stand-ups, sprint planning, and retrospectives to ensure team alignment and progress.

•            Monitor and report project velocity, burn-down charts, and other key metrics.

Stakeholder Management:

•            Communicate project status, risks, and issues to stakeholders, including business leaders, product owners, and customers.

•            Collaborate with stakeholders to gather requirements and ensure project alignment with business objectives.

Data Engineering Expertise:

•            Stay up-to-date with industry trends and emerging technologies in data engineering.

•            Collaborate with data engineers to design and implement data warehousing solutions using Snowflake.

•            Ensure data quality, security, and compliance with industry standards.

Power BI and Reporting:

•            Collaborate with data analysts to design and implement data visualizations using Power BI.

Ensure data accuracy, completeness, and consistency

Company Information