- Design and implement data storage solutions.
- 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
- Optimize Azure SQL databases for effective query performance
- Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures
- Participate in all scrum ceremonies
Mandatory Skills
Required skills –
- Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
- Azure DevOps
- Apache Spark, Python
- SQL proficiency
- Data modeling
- ETL processes
- Azure Databricks knowledge
- Familiarity with data warehousing
- Big data technologies
- Data governance principles
VENDOR RATE
15K INR per day
Work Location
Offshore
BGV Pre/Post onboarding
Post
📌 Azure Data Engineer (India)
🏢 Clifyx
📍 India
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