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Talent Accelerator is seeking an experienced Azure Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data pipelines in the cloud using Azure.
Key Responsibilities- Design and implement data extraction, transformation, and loading (ETL) pipelines using Azure services such as Azure SQL Server, Azure Blob Storage, Azure Data Lake, and Azure Synapse Analytics.
- Develop and maintain data processing workflows using Azure Databricks and PySpark.
- Collaborate with cross-functional teams to ensure data quality, security, and compliance.
- Stay up-to-date with the latest Azure technologies and best practices.
- 3+ years of experience in data engineering with a focus on cloud computing.
- Proficiency in Python and Spark (PySpark) programming languages.
- Experience with Azure services such as Azure SQL Server, Azure Blob Storage, Azure Data Lake, and Azure Synapse Analytics.
- Strong understanding of data processing workflows and ETL concepts.
- Excellent communication and collaboration skills.
- Competitive salary and benefits package.
- Opportunity to work with a talented team of data engineers and scientists.
- Flexible work arrangements, including remote work options.
- Professional development opportunities.
