Jobs → Data & Analytics → AWS Data Engineer

About the Role We are looking for an experienced AWS Data Engineer with strong Data Science and Machine Learning skills to build scalable data pipelines, develop cloud-based data solutions, and operationalize machine learning models in production. Key Responsibilities • 7+ years of hands-on experience with AWS data engineering services • Strong proficiency in Python, SQL, and PySpark or Scala • Experience with Amazon S3, AWS Glue, EMR, Redshift, and Athena • Hands-on experience with Amazon SageMaker and ML model deployment • Knowledge of machine learning lifecycle, feature engineering, and feature stores • Experience building batch and streaming data pipelines using Kinesis • Workflow orchestration using Apache Airflow, MWAA, or AWS Step Functions • Understanding of AWS IAM, Lake Formation, and CloudWatch • Experience with Docker, Git, CI/CD, and Infrastructure as Code (Terraform or AWS CDK) • Ability to build reliable, scalable, production-ready data and ML workflows Ideal Candidate: A hands-on professional who can bridge the gap between data engineering and data science by transforming raw data into production-ready machine learning solutions.