Software Engineer (Python)_01

As a Backend Engineer, you will play a key role in advancing our analytics platform to the next level. Our data pipeline architecture focuses on scalability, flexibility, and high performance using cutting-edge AWS technologies. You’ll be part of a small, innovative team that continually enhances our pipeline by adopting the latest tools and approaches. This role involves leading initiatives to transition components of our analytics process to a scalable, serverless architecture—supporting advanced analytics with improved computational capabilities and performance.

We are looking for someone who thrives on innovation, enjoys solving complex data challenges, and can mentor others while driving major backend projects forward.

Responsibilities

Lead major initiatives within the data pipeline team. Design, develop, and maintain scalable ETL / ELT pipelines. Participate in architectural decisions and evaluate new technologies for pipeline optimization. Collaborate cross-functionally with teams such as Data Integration, Support, and TAM to ensure pipeline reliability and visibility. Drive the migration of components toward serverless and scalable architectures. Mentor and guide junior engineers by providing technical feedback and support. Ensure code quality, performance, and adherence to best practices in backend development.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field. 2+ years of experience in backend development. Proven experience developing ETL / ELT pipelines from the ground up. Strong proficiency in Java, Python, and SQL. Hands-on experience with AWS services such as S3, Glue, Athena, Lambda, and Step Functions (strong plus). Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK, CloudFormation, or Terraform. Strong problem-solving skills and a passion for building scalable, data-driven systems. Excellent communication and collaboration abilities.

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