Cloud Data Engineer with ETL Expertise

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.