Lead Data Engineer

Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design. A Senior Data Engineer designs and oversees the entire data infrastructure, data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective.

Key Responsibilities :

Oversee the entire data infrastructure to ensure scalability, operation efficiency and resiliency.

- Mentor junior data engineers within the organization.

- Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).

- Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).

- Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.

- Optimize data pipelines in the Azure environment for performance, scalability, and reliability.

- Ensure data quality and integrity through data validation techniques and frameworks.

- Develop and maintain documentation for data processes, configurations, and best practices.

- Monitor and troubleshoot data pipeline issues to ensure timely resolution.

- Stay current with industry trends and emerging technologies to ensure our data solutions

remain cutting-edge.

- Manage the CI/CD process for deploying and maintaining data solutions.