AWS Data Engineer

Overview

On Site
$100,000 - $130,000
Full Time

Skills

Amazon Web Services
AWS
Amazon Kinesis
Amazon Redshift
Amazon S3
Collaboration
Data Extraction
Data Lake
Data Quality
Data Security
Data Warehouse
Access Control
Documentation
Encryption
Extract
Transform
Load
Knowledge Sharing
Management
Optimization
Privacy
Regulatory Compliance
Storage
Streaming
Workflow

Job Details

Job Title: AWS Data Engineer

Location: Seattle, WA

Job Description:

Design and Development: Design, develop, and implement data pipelines using AWS services such as AWS Glue, Lambda, S3, Kinesis, and Redshift to process large-scale data.

ETL Processes: Build and maintain robust ETL processes for efficient data extraction, transformation, and loading, ensuring data quality and integrity across systems.

Data Warehousing: Design and manage data warehousing solutions on AWS, particularly with Redshift, for optimized storage, querying, and analysis of structured and semi-structured data.

Data Lake Management: Implement and manage scalable data lake solutions using AWS S3, Glue, and related services to support structured, unstructured, and streaming data.

Data Security: Implement data security best practices on AWS, including access control, encryption, and compliance with data privacy regulations.

Optimization and Monitoring: Optimize data workflows and storage solutions for cost and performance. Set up monitoring, logging, and alerting for data pipelines and infrastructure health.

Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver data solutions aligned with business goals.

Documentation: Create and maintain documentation for data infrastructure, data pipelines, and ETL processes to support internal knowledge sharing and compliance.

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