Note: The job is a remote job and is open to candidates in USA. Rivago Infotech Inc is recruiting for an unnamed client seeking a hands-on AWS Data Engineer with data science skills. The role focuses on building scalable AWS data pipelines and data lakes, operationalizing machine learning models, and automating production ML workflows.
Responsibilities
- Design, build, and optimize end-to-end batch and streaming data pipelines using Amazon S3, AWS Glue, Amazon EMR, and Kinesis
- Operationalize and deploy machine learning models (scikit-learn, PyTorch, or TensorFlow) into production workflows using SageMaker and Lambda
- Manage large-scale data storage and analytics using Amazon Redshift and Athena, creating clean feature sets for data science models
- Build robust workflow orchestration using Apache Airflow, MWAA (Managed Workflows for Apache Airflow), or AWS Step Functions
- Ensure data integrity, pipeline monitoring, and security compliance using IAM, Lake Formation, and CloudWatch
Skills
- 7+ years of hands-on experience with core AWS big data services (S3, Glue, Redshift, Athena, EMR, SageMaker)
- Advanced proficiency in Python and SQL; experience with PySpark or Scala for big data processing
- Solid understanding of machine learning lifecycles, feature store concepts, and model deployment/inference patterns
- Experience with Docker, Git, CI/CD pipelines, and Infrastructure as Code (Terraform or AWS CDK)
Benefits
- Remote work, preferably from Cambridge, MA
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