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Dimensionless Technologies

Senior Data Engineer

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Summary

Senior Data Engineer at Dimensionless Technologies in Bangalore building and productionizing AWS data pipelines, AI agents, and backend services. The role is hands-on across data, AI, and backend engineering, using Python, PySpark, AWS Glue, Step Functions, S3/Athena, and REST APIs from design through deployment.

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: Bangalore


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.


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.·

Strong Git, software engineering, and CI/CD practices.

Skills

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