AWS Data Engineer with AI/ML-Remote

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

AI/ML
AI
Artificial Intelligence
AWS
Amazon Web Services
Data engineer
SQL
PL/SQL
AWS Glue
Lambda
CDK
Terraform
ML Ops pipelines
agentic AI
ETL
CI/CD
Security & Governance Acumen
IAM

Job Details

Title - AWS Data Engineer with AI/ML

Location-Remote

Duration Contract

Need 13+ years of Exp

Skills

Used In/Project

Years of experience

Advanced SQL Expertise: Deep proficiency in SQL across platforms, especially PL/SQL and Oracle database administration, enabling complex data modeling, performance tuning, and scalable query design for enterprise-grade systems.

Cloud-Native Data Architecture: Proven experience designing and deploying scalable data ecosystems on AWS and Databricks, leveraging tools like AWS Glue, Lambda, CDK, and Terraform to support high-volume, real-time and batch processing.

AI/ML Engineering & Optimization: Hands-on delivery of ML Ops pipelines and agentic AI solutions, including model deployment, monitoring, and optimization for business-critical use cases

ETL Mastery & Data Quality Engineering: Expertise in building self-healing, event-driven ETL frameworks with embedded data quality checks, significantly improving reliability and reducing operational overhead

DevOps & Automation Leadership: Skilled in CI/CD pipeline development using GitHub Actions, ML Flow, and infrastructure-as-code tools to accelerate deployment cycles and ensure consistency across environments.

Security & Governance Acumen: Experience implementing IAM, encryption best practices, and compliance frameworks to ensure secure and governed data operations

Job Summary:

Technical Skills:

  • Advanced SQL Expertise: Deep proficiency in SQL across platforms, especially PL/SQL and Oracle database administration, enabling complex data modeling, performance tuning, and scalable query design for enterprise-grade systems.
  • Cloud-Native Data Architecture: Proven experience designing and deploying scalable data ecosystems on AWS and Databricks, leveraging tools like AWS Glue, Lambda, CDK, and Terraform to support high-volume, real-time and batch processing.
  • AI/ML Engineering & Optimization: Hands-on delivery of ML Ops pipelines and agentic AI solutions, including model deployment, monitoring, and optimization for business-critical use cases
  • ETL Mastery & Data Quality Engineering: Expertise in building self-healing, event-driven ETL frameworks with embedded data quality checks, significantly improving reliability and reducing operational overhead
  • DevOps & Automation Leadership: Skilled in CI/CD pipeline development using GitHub Actions, ML Flow, and infrastructure-as-code tools to accelerate deployment cycles and ensure consistency across environments.
  • Security & Governance Acumen: Experience implementing IAM, encryption best practices, and compliance frameworks to ensure secure and governed data operations
  • Nice to have: Master Data Management or Entra implementation experience

Business Consulting Skills

  • Vocal, driven, and can learn independently comfortable operating in ambiguity and fast-paced environments
  • Curious about emerging technologies, including code generation and agentic AI, and its application/deployment in new arenas
  • Self-starter: Able to work independently without much oversight, create documentation to foster collaboration and knowledge sharing, and meet commitments made daily
  • Strong ability to align technical execution with business strategy, present to executive stakeholders on various topics and provide realistic estimates for delivery timelines to leadership

Regards,

Sai Srikar

Email:

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