Job Description

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

Job Details

- Relevant Work Experience: 5+ years
- Status: Full Time
- Location: Remote
- Job Category: Azure Data Engineer
- Job Type: Full Time

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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