Data Engineer with Gen AI Expertise

As a Data Engineer with expertise in Generative AI, your role will involve designing, developing, and maintaining robust data pipelines and workflows. You will be responsible for integrating Generative AI models into existing data systems to enhance functionality. Collaborating with cross-functional teams to understand business needs and translating them into scalable data and AI solutions will be a key part of your role. Additionally, you will optimize data storage, processing, and retrieval systems for performance and scalability, ensuring data security, quality, and governance across all processes. It will also be essential for you to stay updated with the latest advancements in Generative AI and data engineering practices. Key Responsibilities: - Design, develop, and maintain robust data pipelines and workflows. - Integrate Generative AI models into existing data systems to enhance functionality. - Collaborate with cross-functional teams to understand business needs and translate them into scalable data and AI solutions. - Optimize data storage, processing, and retrieval systems for performance and scalability. - Ensure data security, quality, and governance across all processes. - Stay updated with the latest advancements in Generative AI and data engineering practices. Required Skills and Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or related fields. - 2-6 years of hands-on experience in Data Engineering. - Proficiency in Generative AI frameworks (e.g., GPT, DALL-E, Stable Diffusion). - Strong programming skills in Python, SQL, and familiarity with Java or Scala. - Experience with data tools and platforms such as Apache Spark, Hadoop, or similar. - Knowledge of cloud platforms like AWS, Azure, or GCP. - Familiarity with MLOps practices and AI model deployment. - Excellent problem-solving and communication skills.,