

AWS Data Analytics
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AWS Data Analytics position, lasting 18 months in New York City. Key skills include AWS Glue and Data Lake expertise. Candidates must have hands-on experience with AWS technologies and BI tools.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 8, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
New York, NY
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π§ - Skills detailed
#Data Quality #ML (Machine Learning) #BI (Business Intelligence) #Data Analysis #Athena #"ETL (Extract #Transform #Load)" #AWS Glue #AWS (Amazon Web Services) #Lambda (AWS Lambda) #Data Lake #Data Pipeline #Security #Data Ingestion #Scala #Visualization #S3 (Amazon Simple Storage Service)
Role description
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Iris's client, one of the world's largest multinational Investment banking and financial services corporation is looking to hire a Senior AWS Data Analytics for a Long-Term opportunity.
Job title: Sr. AWS Data Analytics
Duration: 18 Months
Location: New York City, NYC (5 days Onsite)
W2 or Self-Incorporated only (NO THIRD-PARTY RESUMES)
Skills: AWS Glue, Data Lake are mandatory
Job Summary:
We are seeking a highly skilled Data and Analytics Specialist with hands-on experience in AWS technologies, BI tools, and data lake architecture. The ideal candidate will be responsible for managing end-to-end data ingestion, transformation, and analytics processes to support data-driven decision-making across the organization.
Key Responsibilities:
β’ Design, develop, and maintain scalable data pipelines using AWS services such as AWS Glue, S3, Lambda, and Athena
β’ Build and manage data lakes to store structured and unstructured data from various sources
β’ Develop and implement data ingestion frameworks to collect and process large volumes of data efficiently
β’ Work closely with business and technical teams to deliver insights and dashboards using BI tools
β’ Perform data analysis and transformation to support reporting, analytics, and machine learning initiatives
β’ Ensure data quality, integrity, and security throughout the lifecycle
Required Skills & Qualifications:
β’ Strong hands-on experience with AWS technologies (Glue, S3, Lambda, Athena, etc.)
β’ Proficiency in using BI tools for data visualization and reporting