Jobs → Data & Analytics → AWS Data Engineer with Data Science Skills

About the Role We are looking for a hands-on AWS Data Engineer with Data Science and Machine Learning skills to join our team on an urgent contract basis. This role requires a professional with strong experience in AWS Data Engineering, Python, and Machine Learning. Key Responsibilities • Design and maintain scalable batch and streaming data pipelines • Build and optimize AWS data lakes and data processing workflows • Prepare high-quality datasets and features for Machine Learning models • Deploy and operationalize ML models in production environments • Automate workflows and ensure data quality, security, and reliability Requirements • Hands-on experience with AWS Data Engineering and big data services • Strong proficiency in Python and SQL • Experience with AWS S3, Glue, Redshift, Athena, EMR, and SageMaker • Hands-on experience with PySpark or Scala • Understanding of Machine Learning lifecycles, feature engineering, and feature stores • Experience deploying ML models using SageMaker and Lambda • Knowledge of scikit-learn, PyTorch, or TensorFlow • Experience with Apache Airflow, MWAA, or AWS Step Functions • Familiarity with Docker, Git, CI/CD pipelines, and Terraform or AWS CDK • Knowledge of data governance, security, and monitoring using IAM, Lake Formation, and CloudWatch