Cloud Data Engineer

As a Data Engineer at GlobalLogic, you will be responsible for designing, implementing, and maintaining the data infrastructure and pipelines necessary for AI/ML model training and deployment. Your role will involve working closely with data scientists and engineers to ensure that data is clean, accessible, and efficiently processed. Key Responsibilities: - Build and maintain scalable data pipelines for data collection, processing, and analysis. - Ensure data quality and consistency for training and testing AI models. - Collaborate with data scientists and AI engineers to provide the required data for model development. - Optimize data storage and retrieval to support AI-driven applications. - Implement data governance practices to ensure compliance and security. Qualifications Required: - 6-8 years of experience in data engineering, ideally in financial services. - Strong proficiency in SQL, Python, and big data technologies (e.g., Hadoop, Spark). - Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions. - Familiarity with ETL processes and tools, as well as knowledge of data governance, security, and compliance best practices are essential. GlobalLogic prioritizes a culture of caring where people come first. You will experience an inclusive culture of acceptance and belonging, build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. The company is committed to your continuous learning and development, offering opportunities to try new things, sharpen your skills, and advance your career. You will have the chance to work on projects that matter, engage your curiosity and problem-solving skills, and contribute to cutting-edge solutions shaping the world today. GlobalLogic supports balance and flexibility in work and life, providing various career areas, roles, and work arrangements. Joining GlobalLogic means being part of a high-trust organization where integrity is key, and trust is fundamental to their relationships with employees and clients.,