Python Data Engineer

About The Role

We are seeking versatile Full Stack Data Engineers to join our team. These roles involve developing and maintaining end?to?end data solutions, encompassing both user?facing reporting applications and robust backend data infrastructure. Engineers will leverage their expertise to build and productionize tools that provide critical insights and support data?driven decision?making.

Responsibilities

Full Stack Development

Build, test, and productionize reporting tools and web applications using modern frontend technologies (Angular, TypeScript, Dart).Design and implement interactive dashboards and data visualizations using charting libraries such as Dart charts and d3.js..Develop, test, and deploy web services and APIs using Java.

Backend & Data Engineering

Architect, build, and maintain scalable and efficient data pipelines (ETL jobs) to process logs and diverse data sources.Create and manage derived tables and materialized views to optimize data access for dashboards and reporting.Integrate multiple services and systems to create seamless data workflows and application functionalities.

Production & Reliability

Perform comprehensive end?to?end testing to ensure quality, reliability, and performance.Create and maintain detailed code documentation, system designs, and data lineage.Develop and uphold production playbooks for deployment, monitoring, and on?call procedures.

Required Qualifications

Minimum of 10+ years of technical experience.Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.

Demonstrated Experience In Full?stack Development, Including

Frontend: Angular, TypeScript, Dart.Data Visualization: Dart charts, d3.js..Backend: Strong proficiency in Java for web services and APIs.Proven experience designing, building, and productionizing ETL pipelines, including processing large volumes of logs.Familiarity with database systems, derived tables, and materialized views.