Data Engineering Manager

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Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• At least 7 years of experience in data engineering, with a minimum of 3 years in a managerial role.
• Strong proficiency in data engineering tools and technologies, including ETL frameworks, SQL, and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Spark).
• Excellent project management skills, with the ability to prioritize and manage multiple projects simultaneously.
• Strong leadership skills with demonstrated experience in building and mentoring high-performing teams.
• Excellent analytical and problem-solving abilities.
• Strong communication skills, with the ability to convey complex data concepts to technical and non-technical stakeholders.
• Knowledge of data governance and compliance standards.

Responsibilities:

• Manage and lead the data engineering team, providing guidance, mentorship, and support in their professional growth.
• Design and implement scalable data solutions to meet business needs.
• Collaborate with cross-functional teams to identify and prioritize data initiatives.
• Oversee the development and maintenance of data pipelines, ensuring optimal data quality and accessibility.
• Implement policies and procedures for data governance, security, and compliance.
• Monitor and optimize data performance, reliability, and efficiency.
• Stay abreast of industry trends and advancements in data engineering methodologies.
• Facilitate clear communication of data strategy and project updates to stakeholders.