Senior Data Engineer

Overview: - Welo Data collaborates with tech companies to provide high-quality, ethically sourced, diverse, and scalable datasets for AI model enhancement. - Welocalize brand with over 25 years of experience and a global community of 500,000 AI experts. Key Responsibilities: - Design, implement, and maintain robust data architectures, including databases, data lakes, and data warehouses. - Optimize data management systems for technical and business requirements. - Develop and implement data governance policies for data integrity, confidentiality, and availability. - Coordinate with cross-functional teams to align data solutions with company goals. - Lead data architecture vision and strategy, present to stakeholders, and identify areas for improvement. - Stay updated on industry developments and participate in professional development. - Mentor junior data engineers and promote continuous learning. Requirements/Skills/Qualifications: - Minimum 8 years of experience as a Senior data engineer or higher. - Proficiency in data architecture, machine learning pipelining, data modeling, and design. - Technical skills in big data management tools (Hadoop, Spark) and ML model development (Python, R, TensorFlow). - Analytical and problem-solving skills for data pipeline troubleshooting and optimization. - Strong communication skills for articulating complex concepts to various stakeholders. - Project management skills for managing multiple projects with tight deadlines. - Continuous learning to apply new trends and advancements in data architecture and ML. - Prior experience in decision-making and leadership of large-scale architecture modernization. Compensation & Benefits: - Not specified in the provided text.