AI Data Engineer

Role Overview: As an AI Data Engineer, your main responsibility will be to build scalable, high-quality data pipelines that support advanced analytics and AI/ML models. You will play a crucial role in transforming raw data into reliable datasets that are ready for AI applications. If you find satisfaction in working with data and turning it into valuable insights, this role is tailored for you. Key Responsibilities: - Design, build, and maintain end-to-end data pipelines specifically for AI/ML workloads - Develop high-quality datasets suitable for modeling by transforming, cleaning, and enriching raw data - Manage feature stores and assist ML engineers with feature engineering - Collaborate with data scientists to comprehend model requirements and provide optimized datasets - Implement ETL/ELT workflows for real-time and batch data processing - Optimize data systems for speed, scale, and cost efficiency - Ensure data quality, governance, and documentation throughout the pipelines - Utilize cloud-native tools for storage, orchestration, and automation Qualifications Required: - Minimum 5 years of experience as a Data Engineer or AI-focused Data Engineer - Proficiency in Python and SQL - Familiarity with distributed processing tools such as Apache Spark, Databricks, and PySpark - Hands-on experience with ETL/ELT orchestration tools like Airflow, dbt, Prefect, etc. - Understanding of ML pipelines, feature stores, and AI workflows - Knowledge of cloud platforms like AWS, Azure, GCP, and modern data architectures - Experience in working with APIs, data ingestion frameworks, and real-time streaming technologies (knowledge of Kafka is a plus) - Strong problem-solving skills and ability to thrive in fast-paced environments Additional Company Details: Joining our team will give you the opportunity to work on cutting-edge AI and analytics products. You will have a chance to influence architecture decisions and build scalable systems from scratch. Our environment is collaborative and growth-focused, providing you with a real impact on product performance and customer experience.,