Data Engineer - (AI and Python)

FlatGigs is seeking a skilled **Data Engineer (AI and Python)** to join our dynamic team. In this role, you will build and maintain robust data pipelines and infrastructure that power AI\-driven applications and analytics. You will work closely with data scientists and AI engineers to support scalable machine learning workflows and drive data innovation. **Key Responsibilities** * Design, develop, and maintain scalable ETL pipelines using Python to handle large volumes of structured and unstructured data * Collaborate with AI teams to develop data solutions that enable efficient model training, evaluation, and deployment * Implement data ingestion, cleansing, and transformation processes to ensure high\-quality datasets for AI workflows * Optimize data workflows and storage solutions for performance and reliability * Work with cloud platforms (AWS, Azure, or GCP) to deploy and monitor data pipelines and related infrastructure * Maintain documentation and enforce data governance and compliance policies * Participate in code reviews, testing, and continuous integration to deliver robust production\-ready data solutions **Requirements** **Required Qualifications** * Bachelor's degree in Computer Science, Engineering, Data Science, or related field * 3\+ years of professional experience in data engineering with a focus on AI and ML workflows * Strong proficiency in Python programming and experience using libraries such as Pandas, NumPy, and Airflow * Hands\-on experience building and managing ETL/ELT pipelines * Good understanding of cloud platforms (AWS, Azure, or GCP) and familiarity with deploying data infrastructure * Experience with SQL and NoSQL databases * Familiarity with container orchestration tools such as Docker and Kubernetes is a plus **Preferred Skills** * Knowledge of AI/ML concepts and ability to collaborate effectively with data science teams * Experience with distributed data processing frameworks like Apache Spark * Understanding of data security, compliance, and best practices in data engineering **Benefits** Market Competitive Salary Leaves Health Insurance Hybrid Work Model