

AWS Data Analytics
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analytics Specialist with a long-term contract in New York City, offering W2 or self-incorporated pay. Key skills include AWS Glue, data lake management, and BI tools. Experience in data ingestion and analytics is required.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 7, 2025
π - Project duration
Unknown
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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
#Lambda (AWS Lambda) #Cloud #ML (Machine Learning) #S3 (Amazon Simple Storage Service) #Data Quality #Data Ingestion #Data Lake #Data Analysis #AWS (Amazon Web Services) #AWS Glue #BI (Business Intelligence) #Security #Data Architecture #Visualization #Data Pipeline #Data Warehouse #"ETL (Extract #Transform #Load)" #Scala #Athena
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 Data Analytics for a Long-Term opportunity.
Work Location: New York City, NYC (5 days Onsite)
W2 or Self-Incorporated only (NO THIRD PARTY RESUMES)
AWS Glue is 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
β’ Experience building and managing data lakes and cloud-based data warehouses
β’ Solid understanding of data ingestion, ETL/ELT processes, and data architecture
β’ Proven track record in data analytics and business intelligence solutions
β’ Strong problem-solving skills and ability to work independently in an onsite environment
Irisβs Software Inc.
With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-US.