AWS Data Engineer


Rivago infotech inc
Dice Job Match Score™
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Job Details
Skills
- Amazon EMR
- Amazon Kinesis
- Amazon Redshift
- Amazon S3
- Amazon SageMaker
- Amazon Web Services
- Apache Airflow
- Data Governance
- DevOps
- Docker
- Electronic Health Record (EHR)
- JD
- Machine Learning (ML)
- Git
- Extract, Transform, Load
- PyTorch
- Python
- PySpark
- SQL
- Scala
- Terraform
- scikit-learn
- TensorFlow
- Warehouse
- Data Science
Summary
AWS Data Engg with Data Scientist
Client Full Address:
Remote / WFO / Hybrid: Remote (preferably from Cambridge, MA
Hire Type (FTE/Contract): Contract
Detailed JD:
A hands-on AWS Data Engineer with Data Science skills designs, builds, and maintains scalable cloud data pipelines while operationalizing machine learning models and data science workloads.
Job Description Overview
· Role: Hands-On AWS Data Engineer with Data Science Skills
· Core Mission: Bridge the gap between raw data infrastructure and production-ready machine learning by building reliable data lakes, feature stores, and automated ML pipelines on AWS.
Key Responsibilities
· Data Pipeline & Lakehouse Engineering: Design, build, and optimize end-to-end batch and streaming data pipelines using Amazon S3, AWS Glue, Amazon EMR, and Kinesis.
· Data Science & ML Integration: Operationalize and deploy machine learning models (scikit-learn, PyTorch, or TensorFlow) into production workflows using SageMaker and Lambda.
· Feature Engineering & Warehousing: Manage large-scale data storage and analytics using Amazon Redshift and Athena, creating clean feature sets for data science models.
· Orchestration & Automation: Build robust workflow orchestration using Apache Airflow, MWAA (Managed Workflows for Apache Airflow), or AWS Step Functions.
· Data Governance & Quality: Ensure data integrity, pipeline monitoring, and security compliance using IAM, Lake Formation, and CloudWatch
Required Qualifications & Skills
· Cloud & Services: 7+ years of hands-on experience with core AWS big data services (S3, Glue, Redshift, Athena, EMR, SageMaker).
· Programming: Advanced proficiency in Python and SQL; experience with PySpark or Scala for big data processing.
· Data Science Acumen: Solid understanding of machine learning lifecycles, feature store concepts, and model deployment/inference patterns.
· DevOps & Tools: Experience with Docker, Git, CI/CD pipelines, and Infrastructure as Code (Terraform or AWS CDK)
- Dice Id: 91131106
- Position Id: 9119487
- Posted 4 hours ago
Company Info
About Rivago infotech inc
Rivago Infotech Inc has been a leader in IT staffing and Software development for over 5 years and is one of the largest diversity and development firms in the industry. We are known for our high-touch, customer-eccentric approach, offering our clients unmatched quality, responsiveness and flexibility . We are appreciated by our clients for our streamlined execution, highly efficient service and exceptional talent management that go above and beyond traditional staffing services.


