Job Description
Need Senior AWS Data Engineer / AWS Python Developer profiles with strong cloud data engineering experience.
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Senior AWS Data Engineer / AWS Python Developer
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Berkeley Heights, NJ (5days onsite)
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Must-Have Skills
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Look for candidates with:
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- 6+ years in Software Development, Data Engineering, or Software Engineering.
- AWS Data Services (3+ years):
- S3
- Glue
- Lambda
- Event-driven architectures
- Python (3+ years hands-on) and preferably PySpark.
- SQL databases and data management experience.
- CI/CD and DevOps experience.
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Preferred / Nice-to-Have Skills
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Profiles with any of the following will be stronger:
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- Snowflake
- Snowpark
- Snowflake Cortex
- Data transformation and ETL pipelines
- APIs and Microservices
- Distributed systems architecture
- AI/Generative AI exposure on Snowflake/AWS platforms
- Commission, incentives, residual payments, or finance domain experience.
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Candidate Profile Summary
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An ideal candidate would be:
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A 6+ year Data Engineer/Developer with strong AWS (S3, Glue, Lambda), Python/PySpark, SQL, ETL pipeline development, CI/CD experience, and preferably Snowflake exposure. Experience building cloud-based data ingestion and transformation pipelines is more important than traditional application development.
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Given your context, I would prioritize candidates from banking, fintech, payments, data platforms, commissions/incentives systems, or financial reporting platforms, as the role supports residual payment calculations and reporting solutions