
Data Engineering Project Leader
3 days ago
Are you a seasoned professional looking for a new challenge in project management?
">About the Role
As a Technical Project Manager, you will 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.
">Key Responsibilities:
">- ">
- Plan, execute, and deliver technical projects on time, within scope, and within budget.">
- Have a strong understanding of data pipelines, ETL/ELT, and analytics workflows.">
- Collaborate with engineering, product, QA, and operations teams to define project requirements and success metrics.">
- Be familiar with cloud data platforms (AWS, GCP, Azure, Snowflake, Databricks).">
- Develop detailed project plans, schedules, resource allocations, and risk mitigation strategies.">
- Lead daily stand-ups, sprint planning, retrospectives, and other Agile ceremonies.">
- Track project progress using tools like Jira, Confluence, and report status to stakeholders.">
- Proactively identify and resolve project blockers and dependencies.">
- Ensure all technical documentation is current and aligned with project goals.">
- Facilitate communication between technical and non-technical stakeholders.">
- Manage third-party vendors or external contractors when applicable.">
- Advocate for continuous improvement in processes, tools, and team efficiency.">
Requirements:
">- ">
- Hold a Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.">
- Have 8+ years of experience in project management within a technical environment.">
- Have a strong understanding of software development methodologies (Agile, Scrum, Kanban, or Waterfall).">
- Be proficient with project management tools (e.g., Jira, Asana, Microsoft Project).">
- possess Excellent communication, negotiation, and stakeholder management skills.">
- Ability to handle multiple projects simultaneously in a fast-paced environment.">
Desirable Skills:
">- ">
- Strong understanding of data pipelines, ETL/ELT, and analytics workflows.">
- Excellent communication, negotiation, and stakeholder management 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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