Data Engineer (AWS)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer (AWS) contract position, offering a hybrid or remote work environment. Key skills include AWS services (Lambda, Glue, S3), Python, and API development. Mid-level experience in data engineering, preferably in financial services, is required.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
768
🗓️ - Date discovered
May 9, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Newark, NJ
🧠 - Skills detailed
#Programming #Data Engineering #Data Analysis #DynamoDB #PySpark #Data Pipeline #API (Application Programming Interface) #UAT (User Acceptance Testing) #Spark (Apache Spark) #Data Processing #BI (Business Intelligence) #Microsoft Power BI #Data Layers #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #NoSQL #S3 (Amazon Simple Storage Service) #Visualization #Python #Lambda (AWS Lambda) #Cloud
Role description
At-a-Glance:
Are you ready to build your career by joining a global financial company? If so, our client is hiring a Data Engineer (AWS).
Position Type:
• Contract
• Hybrid or Remote
Requirements:
• Strong experience with AWS services, particularly Lambda, Glue (specifically PySpark for ETL), S3, and Step Functions.
• Familiarity with API development and building.
• Experience with data layers, including NoSQL DynamoDB (not critical, but a plus).
• Proficiency in Python programming.
Preferred Qualifications:
• Mid-level experience in a similar role.
• Familiarity with financial services or insurance industry (not mandatory but a plus).
• Experience with Power BI for data visualization and reporting.
• Understanding of both operational and analytical aspects of data processing.
Responsibilities:
• Develop and implement cloud-native applications using AWS services.
• Design and build data pipelines for reinsurance processes.
• Automate operational processes to enhance efficiency.
• Collaborate with business partners to ensure requirements are met and facilitate user acceptance testing (UAT).
• Provide the business team with tools and dashboards for better data analysis.
Get in Touch:
If you think you'd be a good match, submit your resume and reach out to Prakash at (862) 895-5283 to learn more.
At-a-Glance:
Are you ready to build your career by joining a global financial company? If so, our client is hiring a Data Engineer (AWS).
Position Type:
• Contract
• Hybrid or Remote
Requirements:
• Strong experience with AWS services, particularly Lambda, Glue (specifically PySpark for ETL), S3, and Step Functions.
• Familiarity with API development and building.
• Experience with data layers, including NoSQL DynamoDB (not critical, but a plus).
• Proficiency in Python programming.
Preferred Qualifications:
• Mid-level experience in a similar role.
• Familiarity with financial services or insurance industry (not mandatory but a plus).
• Experience with Power BI for data visualization and reporting.
• Understanding of both operational and analytical aspects of data processing.
Responsibilities:
• Develop and implement cloud-native applications using AWS services.
• Design and build data pipelines for reinsurance processes.
• Automate operational processes to enhance efficiency.
• Collaborate with business partners to ensure requirements are met and facilitate user acceptance testing (UAT).
• Provide the business team with tools and dashboards for better data analysis.
Get in Touch:
If you think you'd be a good match, submit your resume and reach out to Prakash at (862) 895-5283 to learn more.
