
Technical Data Engineer
2 weeks ago
Project Manager – Data Engineering
Description:We are seeking a skilled professional to lead and deliver projects in data engineering and analytics. As a technical project manager, you will be responsible for planning, executing, and delivering technical projects on time, within scope, and with high-quality results.
- Plan and Execute Projects:
- You will develop a strong understanding of data pipelines, ETL/ELT, and analytics workflows, ensuring that projects meet the required standards.
- Collaborate with Teams:
- You will work closely with cross-functional teams to define project requirements and success metrics, fostering effective communication and collaboration.
- Stay Up-to-Date:
- You will stay current with cloud data platforms, developing strategies for implementation and optimization to drive business growth.
- Lead Agile Ceremonies:
- You will facilitate communication between technical and non-technical stakeholders, leading Agile ceremonies and promoting a culture of collaboration and continuous improvement.
- Manage Vendors:
- You will manage third-party vendors or external contractors when applicable, ensuring that projects are completed on time and within budget.
- Advocate for Improvement:
- You will advocate for continuous improvement in processes, tools, and team efficiency, driving excellence and innovation in all aspects of project management.
- Education:
- A bachelor's degree in Computer Science, Information Systems, Engineering, or a related field is required.
- Experience:
- A minimum of 8 years of experience in project management within a technical environment is necessary.
- Skills:
- A strong understanding of software development methodologies (Agile, Scrum, Kanban, or Waterfall) is essential.
- Proficient with project management tools (e.g., Jira, Asana, Microsoft Project) is required.
- Soft Skills:
- Excellent communication, negotiation, and stakeholder management skills are crucial for success in this role.
- Data Pipelines:
- A strong understanding of data pipelines, ETL/ELT, and analytics workflows is necessary.
- Communication:
- Excellent communication, negotiation, and stakeholder management skills are required.
- Cloud Data Platforms:
- Familiarity with cloud data platforms (AWS, GCP, Azure, Snowflake, Databricks) is preferred.
- Project Management Tools:
- Proficient with project management tools (e.g., Jira, Asana, Microsoft Project) is preferred.
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