
Senior Data Engineering Project Lead
1 week ago
About the Role:
- We are looking for a skilled Data Engineering Project Manager to lead and deliver projects in data engineering and analytics.
Main Responsibilities:
- Plan, execute, and deliver technical projects on time, within scope, and with resources allocated effectively.
- Foster a strong understanding of data pipelines, ETL/ELT, and analytics workflows.
- Collaborate with cross-functional teams to define project requirements and success metrics.
- Evaluate familiarity 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.
- Identify and resolve project blockers and dependencies proactively.
- 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.
Requirements:
- 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.
Key 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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