Senior Data Engineer
Dimensionless Technologies · Salem, India ·
- Seniority
- Senior
- Category
- Data engineering
Dimensionless Technologies · Salem, India ·
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Senior Data Engineer at an AI consultancy in Salem, India: hands-on building and productionizing AWS data pipelines, AI agents on Amazon Bedrock, and Python REST backend services from design through deployment. Core stack: Python, PySpark, AWS Glue, S3/Athena, Step Functions, and LLM/GenAI tooling.
Company Description: Dimensionless Technologies is a global IT consultancy and AI services company founded in 2016 in Mumbai, India. We specialize in providing AI-based solutions to enhance operational efficiency and enable business growth for diverse industries. With offices in Mumbai and New Jersey, our expert team of data scientists, machine learning engineers, and software developers craft customized AI solutions such as security automation, fraud detection, and natural language processing. Driven by innovation, we are dedicated to helping organizations achieve their goals through cutting-edge technology.
Job Location: India
About the role: Build and productionize AWS data pipelines, AI agents, and backend services. This hands-on role requires strong Python and AWS skills and the ability to work across Data, AI, and Backend engineering from design through deployment.
Key Responsibilities:
Data Engineering and AWS Pipelines
Build ingestion and ETL pipelines using Python, PySpark, and AWS Glue.
Orchestrate workflows with AWS Step Functions and manage S3, Athena, and Glue Catalog data layers.
Backend and API Development
Build Python REST APIs and microservices for AI agents, front ends, and enterprise systems.·
Handle authentication, validation, logging, monitoring, integrations, containerization, and deployment.
AI Agent Development
Build agents using Amazon Bedrock, AgentCore, and Strands.·
Implement tool/function calling, workflows, state/context, RAG, evaluation, security, observability, and reusable components.
Engineering and DevOps·
Write clean, reusable, testable code using Git, CI/CD, and configuration-driven development.·
Follow IaC, cloud security, secrets management, logging, and monitoring standards.Terraform is preferred.
Required Skills :
Must Have ·
Strong Python and AWS development experience.·
Data pipeline/ETL experience with PySpark and preferably AWS Glue.·
Experience with S3, Athena, and AWS Step Functions.·
REST API and backend development experience.·
Hands-on LLM/GenAI or AI-agent development, including Amazon Bedrock.·
Exposure to AgentCore and/or Strands is highly desirable.·
Strong Git, software engineering, and CI/CD practices.
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