Role Overview

We are seeking a hands-on Python AWS Data Engineer to design, develop, and maintain robust ETL pipelines and cloud-based data solutions. The ideal candidate will have strong expertise in Python, Spark, SQL, and AWS services, with experience in building scalable data pipelines, implementing data transformations, and ensuring high-quality, maintainable code.

You will collaborate closely with data architects, analysts, and business stakeholders to enable data-driven decision-making while working in an Agile workplace.

Key Responsibilities
- Design, develop, and maintain ETL pipelines using Python, Spark, and AWS services.
- Build, test, debug, and document Python and Spark applications.
- Work with AWS services including S3, ECS, Lambda, Glue, DynamoDB, SQS, SNS, IAM, and Athena.
- Write and optimize SQL queries, joins, and stored procedures for relational databases.
- Implement unit tests and validation using Pytest or Unittest frameworks.
- Collaborate with DevOps teams to maintain CI/CD pipelines using Git, Jenkins/Bamboo.
- Ensure scalability, performance,



and reliability of data pipelines.
- Participate in Agile ceremonies and contribute to sprint planning, code reviews, and retrospectives.
- Document solutions, data flows, and ETL transformations for knowledge sharing and compliance.

Requirements
Required Skills & Experience
- 3–8 years of hands-on experience in Python, Spark, SQL, and ETL development.
- Strong experience with AWS cloud services and cloud-native data solutions.
- Proficiency in ETL architecture and pipeline design.
- Experience with unit testing frameworks like Pytest and Unittest.
- Solid understanding of RDBMS, SQL queries, joins, stored procedures.
- Exposure to CI/CD and build automation tools (Git, Jenkins/Bamboo).
- Familiarity with Bitbucket, GitHub, Jira, Splunk, PostgreSQL is a plus.
- Excellent verbal and written communication skills.
- Ability to work in Agile/Scrum environments.
- Investment Management domain knowl

📌 3 - 8 Yrs exp - Python AWS Data Engineer (Bengaluru)
🏢 Neorealm
📍 Bengaluru