Data Engineer

About

Utilize your expertise in cloud data systems as a Data Engineer in a hybrid work model. Collaborate with a team to design and deploy scalable ETL pipelines vital for data-driven decision-making. In this significant role, you will drive the development and maintenance of architecture, data processing, and integration solutions. Work alongside skilled data professionals to ensure high-quality governance policies while optimizing data pipeline efficiency. This position plays a vital part in continuous improvement and delivering impactful marketing strategies.

Key Responsibilities

• Design scalable ETL/ELT pipelines using Azure Databricks
• Maintain and develop data architectures and models
• Integrate and ensure data quality from multiple sources
• Adhere to data governance policies for security
• Collaborate with teams to understand data requirements

Requirements

• 4+ years of experience as a Data Engineer
• Experience in Azure Data Factory and Databricks
• Knowledge of DevOps and CI/CD automation
• Strong skills in SQL and relational modeling
• Familiarity with Agile methodologies and collaboration tools

Leverage your data engineering skills to enhance a robust data ecosystem while driving innovation and efficiency.