• Job ID:

  2923

• Job Title:

  Senior AWS Python Data Engineer

• Location:

  Remote

• Duration:

  6 Months + Extension  

• Hourly Rate:

  Depending on Experience (DOE)

• Work Authorization:

  US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

• Client:

  To Be Discussed Later

• Employment Type:

  W-2, 1099, C2C

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Role: Senior AWS Python Data Engineer
Bill Rate: $82/hour C2C
Location: Remote
Duration: 12+ months/ long-term
Interview Criteria: Telephonic + Teams
Direct Client Requirement

JOB DESCRIPITION:
Collaborate with Data Scientists and Platform Engineers to build scalable ML and data systems
Develop and maintain high-performance, distributed data pipelines and machine learning infrastructure
Convert machine learning models into production-ready services and APIs
Automate model training, validation, deployment, and inferencing pipelines
Design fault-tolerant, secure, and cost-effective cloud-native architectures using AWS services
Implement Infrastructure as Code (IaC) using CloudFormation, Terraform, or AWS CDK
Build CI/CD pipelines for deployment and testing automation
Establish software engineering best practices including modularity, reusability, test coverage, and documentation

Requirements:
10+ years of professional experience developing backend systems using Python
Strong background in building and optimizing large-scale data pipelines and distributed systems
Experience deploying machine learning models and managing ML workflows in production
Solid understanding of software engineering principles including design patterns, version control, unit testing, and CI/CD
Familiarity with object-oriented and functional programming practices
Experience developing RESTful APIs and microservices
Proven experience with cloud engineering on AWS, especially services like SageMaker, Glue, Lake Formation, and Athena
Infrastructure as Code experience using CloudFormation, Terraform, or AWS CDK
Experience with graph technologies and knowledge graphs (e.g., Neo4j, Amazon Neptune) is a plus

Preferred Qualifications:
Prior experience working with machine learning operations (MLOps) or AI platform teams
Knowledge of knowledge graph construction and semantic modeling
Background in big data environments and real-time data processing frameworks

Valiant Technologies LLC
166 Geary St
San Francisco, CA 94108
Phone: (415) 935-9966
srinivasa.kandi@valianttec.com

Tags: Srinivasa Reddy Kandi, #SrinivasaReddyKandi, @SrinivasaReddyKandi, Srinivasa Kandi, #SrinivasaKandi, @SrinivasaKandi, Kandi Srinivasa Reddy, #KandiSrinivasaReddy, @KandiSrinivasaReddy

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