Intellibridge
Data Visualization Lead - Front End Developer
Intellibridge, Washington, District of Columbia, us, 20022
Job Description:
(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.Required Skills:
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.Secondary Skills:
CloudAWSData PlatformsMicroservices
(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.Required Skills:
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.Secondary Skills:
CloudAWSData PlatformsMicroservices