We are looking for a skilled Senior Data Engineer with 5-8 years of experience to join our team in Pune and Hyderabad. The ideal candidate will have expertise in Python, SQL, and AWS services.

Roles and Responsibility

- Develop and support cloud-native applications and data pipelines using AWS and Python.
- Design, build, and optimize ETL processes and end-to-end data workflows.
- Implement scalable serverless solutions using AWS services such as S3, Lambda, Glue, Step Functions, Athena, DynamoDB, Secrets Manager, CloudWatch, API Gateway, and Lake Formation.
- Manage production support, troubleshooting, and performance optimization.
- Collaborate with business stakeholders to gather requirements and deliver solutions.
- Follow software engineering best practices, documentation standards, and deployment processes.

Job Requirements

- Robust analytical, troubleshooting, and problem-solving skills.




- Experience in Agile environments and exposure to Microsoft Copilot.
- Asset Management / Financial Services domain experience is preferred.
- Proficiency in Python, SQL, and AWS services including S3, Lambda, Glue, Step Functions, Athena, DynamoDB, Secrets Manager, CloudWatch, API Gateway, and Lake Formation.
- Knowledge of Snowflake and ETL Development Data Pipelines.
- Familiarity with AWS CDK, GitHub, and CI/CD.
- Ability to mentor junior team members and contribute to technical excellence.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Engineer (Maharashtra)
🏢 LTM
📍 Maharashtra