PythonAzure DE
Primary Responsibilities -
- Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
- Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
- Use Azure Data Factory and Databricks to assemble large, complex data sets
- Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
- Ensure data security and compliance
- Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures
Required skills:
- Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
- Azure DevOps
- Apache Spark, Python
- SQL proficiency
- Azure Databricks knowledge
- Big data technologies
The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).
Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.
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Full Stack Developer - Averlon