Head of Data Engineering Team

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Requirements:

• Over 3 years of experience in a leadership role in data engineering or software development.
• Strong knowledge of database architecture, ETL tools, and modern cloud platforms for data processing (e.g., AWS, Azure, Google Cloud).
• Experience working with Airflow and Python frameworks.
• Understanding of machine learning, analytics, and business intelligence fundamentals.
• Proficiency in MS SQL and NoSQL databases.

Responsibilities:

• Develop and implement a strategy for scaling and optimizing the data infrastructure to ensure high performance, scalability, and reliability.
• Collaborate with product and business teams to understand their requirements and translate them into technical specifications.
• Optimize processes for data collection, storage, processing, and transmission to support analytics solutions and machine learning models.
• Ensure adherence to best practices for data quality, security, and metadata management across the organization.
• Introduce new technologies and tools to enhance team efficiency and scale the data infrastructure.
• Oversee the design, development, and maintenance of ETL/ELT processes while monitoring and optimizing system performance.
• Manage projects and coordinate interactions between internal teams, external partners, and contractors.