We are seeking an experienced Azure Data Engineer to join our dynamic team. The ideal candidate will have a robust background in data engineering and a passion for working with cloud technologies. As an Azure Data Engineer, you will be responsible for designing, building, and maintaining data pipelines that support our data analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and other stakeholders to ensure that data is accessible, reliable, and actionable.
Key Responsibilities:
Design and implement data pipelines using Azure Data Factory, Databricks, and other Azure services.
Develop ETL processes to extract, transform, and load data from various sources into Azure Data Lake Storage (ADLS).
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Optimize data workflows for performance and scalability.
Monitor and troubleshoot data pipeline issues to ensure data quality and reliability.
Stay updated with the latest trends and technologies in data engineering and cloud computing.
Required Skills:
Proficiency in Azure Data Factory, Databricks, and Azure Data Lake Storage (ADLS).
Robust programming skills in Python and PySpark.
Experience with SQL for data manipulation and querying.
Knowledge of ETL processes and data pipeline architecture.
Ability to work collaboratively in a team environment and communicate effectively with stakeholders.
If you are a motivated and skilled Azure Data Engineer looking to make an impact in a quick-paced environment, we would love to hear from you.