Data Engineering Team Lead
1 month ago
Role Overview
The Data Engineering Team Lead will be responsible for guiding a multidisciplinary team to ensure successful project delivery. This role requires a blend of team management, project planning, and technical expertise, along with experience in leading data projects and working with stakeholders. Hands-on experience with Databricks, Azure Cloud, and Data Engineering is essential.
Key Responsibilities
- Lead, mentor, and motivate a team of data scientists, analysts, and developers to deliver high-quality solutions.
- Develop and oversee project plans, ensuring alignment with business goals, timelines, and budgets.
- Lead and manage data projects from conception to completion, ensuring the integration of advanced analytics and AI solutions.
- Engage with stakeholders to understand their requirements, provide updates, and ensure their needs are met.
- Utilize both technical and functional skills to bridge the gap between IT and business teams, ensuring seamless project execution.
- Perform business analysis to gather and document requirements, perform gap analysis, and translate business needs into technical specifications.
- Ensure the quality and integrity of data solutions through rigorous testing and validation processes.
- Continuously seek opportunities to improve team processes, tools, and methodologies.
- Leverage hands-on experience with Databricks, Azure, and Data Engineering to guide and support the team in implementing effective data solutions.
Requirements
- Minimum of 10 years of experience in team management and project planning.
- Proven experience in leading data projects and managing stakeholders.
- Hands-on experience with Azure and Data Engineering.
- Strong technical skills with a solid understanding of data science, analytics, and AI technologies.
- Functional expertise with the ability to perform business analysis and translate business needs into technical solutions.
- Excellent communication, leadership, and interpersonal skills
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