Informatics Python Data Engineer

Trigent Software Private Limited

Job Location:

Bangalore - India

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Informatics Python Data Engineer
We are looking for a skilled Software Data Engineer with deep expertise in Python AWS Snowflake and modern data engineering practices to design develop and maintain robust data pipelines and backend systems.

The ideal candidate will operate at the intersection of software development and data engineering owning the entire data workflow from infrastructure as code (IaC) and pipeline orchestration to testing and deployment.

You will be part of a high-performing cross-functional Agile/Data Engineering team responsible for delivering reliable secure and scalable data solutions to support R& D and business analytics. Youll collaborate with data scientists engineers and stakeholders to ensure high-quality production-grade software and Data products.

Key Responsibilities:

Design and develop end-to-end data pipelines using Python DBT and Snowflake (First class SQL writing skills).
Code Quality: Ensure code quality through best practices including writing clean efficient and maintainable code.
Code Reviews: Conduct and participate in code reviews to maintain high code standards and provide constructive feedback to peers.
Use Infrastructure as Code tools (Terraform/CloudFormation) to automate infrastructure deployment as required.
Integrate data from multiple sources using AWS Glue Lambda Athena S3 and Step Functions.
Ensure data quality using unit testing automated testing frameworks like DBT Tests Great Expectations or Pytest.
Implement CI/CD pipelines using GitHub Actions Jenkins or similar tools.
Optimize pipeline performance and cost and monitor for issues in production environments.
Support version-controlled testable and maintainable code following clean coding principles.
Documentation: Maintain up-to-date documentation for software designs processes and codebases to ensure knowledge sharing and project continuity.
Project Planning: Contribute to project planning and estimation efforts.
Continuous Learning: Stay updated with new technologies tools and industry trends to bring innovative solutions to the team.
Collaborate across teams and mentor junior team members in data and software best practices.

Informatics Python Data Engineer We are looking for a skilled Software Data Engineer with deep expertise in Python AWS Snowflake and modern data engineering practices to design develop and maintain robust data pipelines and backend systems. The ideal candidate will operate at the intersection of so...

Key Responsibilities:

Design and develop end-to-end data pipelines using Python DBT and Snowflake (First class SQL writing skills).
Code Quality: Ensure code quality through best practices including writing clean efficient and maintainable code.
Code Reviews: Conduct and participate in code reviews to maintain high code standards and provide constructive feedback to peers.
Use Infrastructure as Code tools (Terraform/CloudFormation) to automate infrastructure deployment as required.
Integrate data from multiple sources using AWS Glue Lambda Athena S3 and Step Functions.
Ensure data quality using unit testing automated testing frameworks like DBT Tests Great Expectations or Pytest.
Implement CI/CD pipelines using GitHub Actions Jenkins or similar tools.
Optimize pipeline performance and cost and monitor for issues in production environments.
Support version-controlled testable and maintainable code following clean coding principles.
Documentation: Maintain up-to-date documentation for software designs processes and codebases to ensure knowledge sharing and project continuity.
Project Planning: Contribute to project planning and estimation efforts.
Continuous Learning: Stay updated with new technologies tools and industry trends to bring innovative solutions to the team.
Collaborate across teams and mentor junior team members in data and software best practices.