Senior Full Stack Engineer

Impelsys; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Impelsys in Bengaluru seeks a hands-on Python + AWS Data/Backend Engineer with 5+ years of experience in backend development, data engineering, and cloud-native solutions.

You will build and maintain APIs, ETL/ELT pipelines, and data workflows on AWS, using FastAPI/Flask/Django, SQL/NoSQL databases, and modern tooling like Docker, Kubernetes, Airflow and DBT.

The role emphasizes scalable architecture, CI/CD, and collaboration with engineering and business stakeholders.

Qualifications

• 5+ years of hands-on experience in backend development, data engineering, and cloud-native solutions.
• Strong experience with Python and API frameworks (FastAPI, Flask, Django).
• Experience building and supporting APIs, ETL/ELT pipelines, data workflows, and backend services.

Skills

Python development

API design

ETL/ELT pipelines

Data workflows

Relational databases

NoSQL databases

SQL

CI/CD

AWS cloud

Containerization

Docker

Tools

Docker

Kubernetes

Airflow

DBT

PostgreSQL

MySQL

Redshift

MongoDB

Job description

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Looking for a hands-on Python + AWS Data/Backend Engineer with 5+ years of experience in backend development, data engineering, and cloud-native solutions.

Key Requirements

• Strong experience in Python development using frameworks such as FastAPI, Flask, Django, Celery, and SQLAlchemy.
• Proven expertise in building and supporting APIs, ETL/ELT pipelines, data workflows, and backend services.
• Deep knowledge of AWS services, particularly S3, Lambda, Glue, ECS/EKS, Fargate, SQS, SNS, EventBridge, EC2, and Airflow.
• Strong database experience with both relational and NoSQL databases, including PostgreSQL, MySQL, Redshift, and MongoDB, along with excellent SQL skills.
• Hands-on experience with DBT, Airflow, Glue, Docker, ECS, and PostgreSQL for data warehouse and data integration workloads.
• Experience in containerization and cloud-native architectures using Docker and Kubernetes.
• Strong understanding of CI/CD practices using Jenkins, GitHub Actions, and version control systems such as GitHub, Bitbucket, and Git.
• Ability to integrate systems by consuming and exposing APIs, enabling seamless data movement across platforms.
• Experience automating and optimizing ETL processes and operational workflows.
• Ability to independently troubleshoot, optimize, and resolve complex ETL and production issues, with a proactive ownership mindset.
• Comfortable designing and implementing scalable backend and data solutions in AWS environments.
• Strong collaboration and communication skills, with the ability to work effectively with both engineering teams and business stakeholders.

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