Key Responsibilities

• Lead and mentor a team of data engineers, fostering a collaborative and productive environment.
• Design and implement data architectures and pipelines to support client projects.
• Manage the delivery of data solutions, ensuring adherence to timelines and quality standards.
• Collaborate with clients to understand their data needs and provide tailored solutions.
• Utilize cloud technologies (e.g., AWS, Azure, Google Cloud) for data storage and processing.
• Ensure best practices in data governance, security, and compliance.
• Stay updated on industry trends and emerging technologies, particularly in AI and machine learning.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in data engineering, with a focus on large-scale data management.
• Proven experience in managing teams and delivering hands-on projects.
• Strong consultancy background with a track record of client engagement and solution delivery.
• Strong knowledge of cloud technologies and data processing frameworks (e.g., Hadoop, Spark).
• Excellent problem-solving skills and the ability to communicate complex concepts to non-technical stakeholders.
• Experience with AI and machine learning technologies is a plus.