Azure Data Engineer

You should have 5+ years of experience in data analysis, engineering, and science. Your proficiency should include Azure Data Factory, Azure DataBricks, Python, PySpark, SQL, and PLSQL or SAS. Your responsibilities will involve designing, developing, and maintaining ETL pipelines using Azure Data Bricks, Azure Data Factory, and other relevant technologies. You will be expected to manage and optimize data storage solutions using Azure Data Lake Storage (ADLS) and develop and deploy data processing workflows using Pyspark and Python. Collaboration with data scientists, analysts, and stakeholders to understand data requirements and ensure data quality is essential. Implementing data integration solutions, ensuring seamless data flow across systems, and utilizing Github for version control and collaboration on the codebase are also part of the role. Monitoring and troubleshooting data pipelines to guarantee data accuracy and availability is crucial. It is imperative to stay updated with the latest industry trends and best practices in data engineering.,