
Data Engineering Project Manager
1 day ago
We are seeking a skilled Technical Project Manager to lead and deliver projects in data engineering and analytics. You will manage cross-functional teams to execute data platform, pipeline, and analytics initiatives, ensuring alignment with business goals and timely delivery.
This is an exceptional opportunity for an experienced project manager to join our team and contribute to the success of our data engineering and analytics initiatives.
Responsibilities:
- Project Planning and Execution: Plan, execute, and deliver technical projects on time, within scope, and within budget.
- Data Pipelines and Analytics Workflows: Strong understanding of data pipelines, ETL/ELT, and analytics workflows.
- Team Collaboration: Collaborate with engineering, product, QA, and operations teams to define project requirements and success metrics.
- Cloud Data Platforms: Familiarity with cloud data platforms (AWS, GCP, Azure, Snowflake, Databricks).
- Project Management Tools: Develop detailed project plans, schedules, resource allocations, and risk mitigation strategies.
- Agile Methodologies: Lead daily stand-ups, sprint planning, retrospectives, and other Agile ceremonies.
- Project Tracking and Reporting: Track project progress using tools like Jira, Confluence, and report status to stakeholders.
- Problem-Solving and Communication: Proactively identify and resolve project blockers and dependencies.
- Documentation and Stakeholder Management: Ensure all technical documentation is current and aligned with project goals.
- Communication and Facilitation: Facilitate communication between technical and non-technical stakeholders.
- Vendor and Contractor Management: Manage third-party vendors or external contractors when applicable.
- Process Improvement: Advocate for continuous improvement in processes, tools, and team efficiency.
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- 8+ years of experience in project management within a technical environment.
- Strong understanding of software development methodologies (Agile, Scrum, Kanban, or Waterfall).
- Proficient with project management tools (e.g., Jira, Asana, Microsoft Project).
- Excellent communication, negotiation, and stakeholder management skills.
- Ability to handle multiple projects simultaneously in a fast-paced environment.
Required Skills:
- Strong understanding of data pipelines, ETL/ELT, and analytics workflows.
- Excellent communication, negotiation, and stakeholder management skills.
Preferred Skills:
- Familiarity with cloud data platforms (AWS, GCP, Azure, Snowflake, Databricks).
- Proficient with project management tools (e.g., Jira, Asana, Microsoft Project).
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