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Remote - AWS Data Engineer - On-site (Chester, PA / Charlotte, NC)
Charlotte, VT
Charlotte
VT
05445
Date
: Aug-17-24
2024-08-17
2025-08-07
Remote - AWS Data Engineer - On-site (Chester, PA / Charlotte, NC)
Charlotte, VT
Aug-17-24
Work Authorization
US Citizen
GC
H1B
GC EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
DOE
Duration
:
12 Months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Engineer
Consulting / Contract
H1B OK
Third Party OK
CONTRACTOR
Direct Client Requirement
Remote Work from Home
Required Skills
:
AWS services on big data platforms, Python experience, particularly in building Dash applications on AWS, Spark expertise for data processing and anal
Preferred Skills
:
Domain
:
Financial
Work Authorization
US Citizen
GC
GC EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
DOE
Duration
:
12 Months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Engineer
Consulting / Contract
H1B OK
Third Party OK
CONTRACTOR
Direct Client Requirement
Remote Work from Home
Required Skills
:
AWS services on big data platforms, Python experience, particularly in building Dash applications on AWS, Spark expertise for data processing and anal
Preferred Skills
:
Domain
:
Financial
OutcomeLogix
Oakdale, PA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Overview:
Seeking an AWS Certified Developer to join our client focusing on building scalable, cost-effective data pipelines, data lakes, and analytics systems.
Key Responsibilities:
Data Ingestion:
Implement processes for collecting data from various sources.
Data Transformation:
Develop ETL processes to cleanse and structure raw data.
Data Storage:
Manage and optimize AWS storage solutions (Amazon S3, Redshift).
Data Processing:
Utilize AWS services (AWS Glue, Amazon EMR, AWS Lambda) for large dataset processing.
Data Monitoring & Optimization:
Ensure performance, cost-efficiency, and scalability.
Integration:
Collaborate with stakeholders for AWS-based data analytics solutions.
Documentation:
Maintain thorough documentation of processes and configurations.
Scalability:
Design solutions to handle growing data volumes and business needs.
Cost Management:
Optimize resource usage and recommend cost-saving measures.
Troubleshooting:
Resolve AWS-related issues promptly.
Must-Have Qualifications:
Strong experience with AWS big data services.
Proficiency in Python, Spark, shell scripting, and Linux.
Nice to Have:
Investment/Finance industry experience.
Machine Learning skills.
Educational Background:
Bachelor's degree in computer science or related field (Master's preferred, GPA 3.8+).
Skills:
Strong problem-solving and analytical abilities.
Effective communication and collaboration skills.
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