Job description

We are looking for a Data Engineer to work for our client. The ideal candidate aligns with the responsibilities and qualifications outlined below. Responsibilities • Design and implement robust data pipelines using Azure Data Factory, Azure Databricks, and other Azure services. • Develop and maintain scalable ETL processes to support data warehousing and analytics initiatives. • Utilize SQL, Python, or Scala for data processing, transformation, and analysis. • Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. • Optimize data workflows for performance, reliability, and scalability in a cloud environment. • Ensure data quality, integrity, and security across all stages of the data lifecycle. • Support the development and maintenance of enterprise data warehouses and data lakes. Qualifications • 5+ years of experience in data engineering or a related field. • Strong hands-on experience with Azure Databricks, SQL, and either Python or Scala. • Deep understanding of data warehousing concepts and ETL processes. • Experience with Azure services such as Data Factory, Synapse Analytics, and Blob Storage. • Familiarity with CI/CD practices and version control tools (e.g., Git). • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration abilities.

Requirements