Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Skills
Access Control
Amazon Redshift
Amazon S3
Amazon Web Services
Cloud Computing
Collaboration
Data Extraction
Data Quality
Data Security
Data Warehouse
Database Design
Extract
Transform
Load
FOCUS
Java
Performance Tuning
Pivotal
Programming Languages
Python
SQL
Scripting
aws glue
etl
Job Details
AWS Data Engineer_ 100% Remote
As a Senior Data Engineer with a focus AWS Glue, Airflow, and AWS, you will play a pivotal role in architecting, building, and maintaining our cutting-edge data infrastructure. Your deep proficiency in these technologies will be instrumental in constructing scalable, performant data pipelines, ensuring data quality and reliability, and supporting a variety of data initiatives across the organization.
If you enjoy utilizing technology to solve complex problems and have a growth mindset, then this opportunity is for you.
Responsibilities:
- Collaborate closely with cross-functional teams including Data Scientists, Analysts, and Software Engineers to understand data requirements and translate them into efficient solutions using AWS Glue and AWS services.
- Develop and maintain ETL processes using AWS Glue to facilitate seamless and reliable data extraction, transformation, and loading.
- Implement robust data security measures and access controls in alignment with company policies and industry best practices.
- Monitor, troubleshoot, and enhance data pipelines, identifying and resolving performance bottlenecks, data quality issues, and other challenges.
- Stay up to date with the latest advancements in AWS Glue and AWS services, and advocate for their effective utilization within the organization
Experience/Minimum Requirements
- Proven experience 8+ years as a Data Engineer, with a strong emphasis on AWS Glue and AWS services.
- In-depth understanding of architecture, performance optimization techniques, and best practices.
- Proficiency in SQL and experience with database design principles.
- Hands-on expertise in designing, building, and maintaining complex ETL pipelines using and AWS Glue.
- Familiarity with data warehousing concepts and methodologies.
- Competence in cloud computing and AWS services, with a focus on data-related services such as S3, Redshift, and Lambda.
- Proficiency in scripting and programming languages such as Python, Java, or similar.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.