Senior Data Engineer

Client of Hirelebanese

Design, evolve, and maintain scalable data architectures that meet performance, reliability, and cost requirements.

Build, automate, and monitor data pipelines for both batch and streaming workflows.

Develop and maintain robust data models and cataloging systems.

Optimize performance across technologies such as Spark, Presto, Athena, and Postgres.

Implement automated testing, anomaly detection, and data validation frameworks (e.g., Great Expectations).

Set up monitoring and incident response processes to ensure data quality and system reliability.

Enforce strict data security standards, including encryption, anonymization, and compliance with privacy regulations such as GDPR and HIPAA.

Manage cloud infrastructure using Infrastructure as Code (e.g., Terraform).

Collaborate with cross-functional teams including Data Science, Analytics, Product, and Operations to design well-documented, reusable datasets and APIs.

Develop data-driven products such as dashboards, analytics layers, and ML-ready pipelines.

Mentor junior engineers, promote best practices, maintain documentation, and ensure CI/CD standards are followed.