Why This Role Stands Out
This hybrid AWS Data Engineer role offers a fantastic opportunity to build impactful data pipelines and leverage Python/PySpark for innovative solutions within a reputable corporation. If you are a mid-senior engineer eager to refine your skills in cloud-native data engineering and contribute to cutting-edge projects, this position is a great fit for you to apply.
Quick Overview
Job Description
Position: AWS + Python
Location- Dallas, TX
Duartion: 12 Months Contract
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
Regards,
Gaurav Tripathi
Sr Associate – Talent Acquisition
KAnand Corporation
Phone:
Office- Ext 443
Email:
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