Data Engineer

Help in the migration and modernization of data platforms, moving applications and pipelines to Google Cloud-based solutions.

Architect and maintain cloud-based data infrastructure leveraging AWS or GCP services.

Ensure data security and governance, enforcing compliance with industry standards and regulations.

Develop and promote best practices for data modeling, processing, and analytics.

Mentor and guide a team of data engineers, fostering a culture of innovation and technical excellence.

Manage and scale data pipelines from internal and external data sources to support new product launches and ensure high data quality.

Develop automation and monitoring frameworks to capture key metrics and operational KPIs for pipeline performance.

Collaborate with internal teams, including data science and product teams, to drive solutioning and proof-of-concept (PoC) discussions.

Develop and optimize procedures to transition data into production. Define and manage SLAs for data products and operational processes.

Research and apply state-of-the-art methodologies in data and Platform engineering.

Create and maintain technical documentation for sharing knowledge.

Develop reusable packages and libraries to enhance development efficiency.

Lead and drive the development and optimization of scalable data architectures and pipelines.

• Develop real-time and batch data processing solutions, integrating structured and unstructured data sources.