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Sr AWS Data Engineer with Strong Python/ PySpark with Snowflake Coretx ( Nearby GA , TX, FL , NJ)

K Anand CorporationDallas, TX🇺🇸United StatesPosted Oct 9, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
22 hours ago
MicroservicesSQLAWSSnowflakeGenerative AIPython

Job Description

Position     : Sr AWS Data Engineer with Strong Python/ PySpark : Only USA
Location     : Alpharetta GA , Coral Springs FL , Dallas TX , Berkely Heights, NJ
Type of Job     : Contract : 12 Months
Experience     : 10+ Years 

What you will do:
Be part of a team designing, developing, testing, and implementing applications for calculating sales channel residual payments, and associated reporting, analysis, and AI driven intelligence functionality.
•    Using Python/PySpark along with AWS provided services, define and implement event-driven data ingestion pipelines, transforming and integrating data sets sourced from multiple platforms and applications.  
•    Participate in code reviews to ensure adherence to coding standards, security requirements, and engineering best practices. 
•    Monitor system performance and assist with troubleshooting issues during UAT and post-go live.

Requirements:
•    6+ years of experience in software development, software engineering, data engineering, or related technology disciplines.
•    3+ years of experience developing or supporting applications within AWS data services including S3, Glue, Lambda and related technologies.
•    Hands on expertise (minimum 3+ years) with Python
•    3+ years of experience working with SQL databases and data management solutions.
•    3+ years of experience with CI/CD pipelines and DevOps practices

Good to have:
•    Experience with commission or residual payment applications
•    Experience working with APIs, microservices, and distributed application architectures
•    Snowflake experience including data transformations, execution workflows, Snowpark
•    Snowflake Cortex for generative AI chatbots of Snowflake housed data and objects

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