Job Description

Key Responsibilities Data EngineeringArchitect, develop, and maintain highly scalable and robust data pipelines using Apache Kafka, Apache Spark, and Apache Airflow.Design and optimize data storage solutions, including Amazon Redshift, S3, or comparable platforms, to support large-scale analytics.Ensure data quality, integrity, security, and compliance across all data platforms.Data ScienceDesign, develop, and deploy sophisticated machine learning models to solve complex business challenges.Build and optimize end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment.Drive Generative AI initiatives, creating innovative products and solutions.Conduct in-depth analysis of large, complex datasets to generate actionable insights and recommendations.Work closely with cross-functional stakeholders to understand business requirements and deliver data-driven strategies.Collaboration and MentorshipMentor and guide junior data scientists and data engineers, fostering a culture of continuous learning and professional growth.Contribute to the development of best practices in Data Science, Data Engineering, and Generative AI.GeneralWrite clean, efficient, and maintainable code in Python and at least one other language (e.g., C#, Go, or equivalent).Participate in code reviews, ensuring adherence to best practices and coding standards.Stay abreast of the latest industry trends, tools, and technologies in Data Engineering, Data Science, and Generative AI.Document processes, models, and workflows to ensure knowledge sharing and reproducibility.