Data Engineer
6 days ago
(3+) years of experience supporting the development and maintenance of data pipelines and infrastructure on AWS. Help ensure data is accessible, reliable, and efficiently processed to support business analytics and decision-making.
Location: DC,Chantilly office Tuesdays and Rosslyn office Wednesdays
Responsibilities:
- Assist in the development and maintenance of data pipelines and ETL processes to ingest, transform, and load data from various sources into our AWS data platform.
- Support the implementation and optimization of data models, databases, and data warehouses.
- Help ensure data quality, integrity, and consistency by performing data validation and cleansing tasks.
- Collaborate with senior data engineers to optimize data storage and retrieval using AWS services such as Redshift, RDS, S3, Glue, and Athena.
- Write and maintain automation scripts and tools for data processing and monitoring.
- Work with data scientists, analysts, and business stakeholders to understand data requirements and assist in delivering data solutions.
- Participate in troubleshooting and resolving data-related issues.
- Document processes, configurations, and best practices for data engineering tasks.
- Experience in data engineering, preferably with AWS.
- Basic knowledge of AWS data services such as Redshift, RDS, S3, Glue, and Athena.
- Understanding of data modeling, data warehousing, and data architecture principles.
- Cloud
- AWS
- Data Platforms
- Microservices
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