Azure Data Engineer

Responsibilities:

• Analyze business problems and design technology solutions.
• Ability to understand the data transformation requirements and implement the same in an optimum solution using Azure data services
• Capable to participate in customer discussion and suggest solutions as necessary.
• Ability to carry out the data modeling activities and deliver the solution in agreement with baselined time & quality.
• Stay focused on-task completion and delivery.
• Supporting existing processes and implementing change requirements as part of a structured change control process.
• Working in a project environment, communicating any identified risks and issues to the project manager accordingly and providing inputs to the change control process.
• Perform production cutover activities from a technical perspective.

Requirements:

• Minimum 2+ years of experience with ADF, Databricks, PySpark, SQL
• Strong conceptual understanding of data warehouse.
• Good conversion of high-level business & technical requirements into technical specs.
• Feeling comfortable in using Azure cloud technologies.
• Customer centric, passionate about delivering great digital products and services.

Key Skills:

• Data pipelines.
• Data modeling.
• Data warehouse.
• Machine learning.
• Data security and compliance.
• Problem solving and critical thinking.
• Continuous learning.
• Architecture.

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