Head of Data Engineering

We're looking for a seasoned Big Data Engineering Lead with expertise in Scala, Python, and PySpark to lead our client data engineering team. You'll be responsible for designing and implementing scalable, efficient, and fault-tolerant data pipelines, as well as mentoring team members and driving technical innovation. Key Responsibilities: Design and develop large-scale data pipelines using Scala, Python, and PySpark Lead and mentor a team of data engineers to build and maintain data architectures, ensuring scalability, reliability, and performance. Collaborate with cross-functional teams to integrate data pipelines with other systems and applications. Develop and maintain technical documentation for data pipelines and architectures. Stay up-to-date with industry trends and advancements in data engineering, and apply this knowledge to drive technical innovation and improvement. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. 8+ years of experience in data engineering, with a focus on Big Data technologies. Strong understanding of Scala, Python, and PySpark. Experience with data warehousing, ETL, and data visualization tools. Strong leadership and mentoring skills. Ability to work in a fast-paced environment and prioritize multiple projects and tasks. Benefits: Competitive salary and benefits package. Opportunity to work with a talented and diverse team of professionals. Collaborative and dynamic work environment. Professional development opportunities, including training and education. Flexible work arrangements, including remote work options. Opportunities for career growth and advancement.