Azure Data Engineer - Python/SQL

Job Description:

As part of the Analytics team, the Analytics Azure Data Engineer must possess the following skills:

• Experience with Azure data services including Azure Data Lake, Azure Data Factory, Azure Data Pipelines, and Synapse Analytics is mandatory.
• Expertise in SQL, Python, Py-Spark or Spark-SQL.
• Expertise to develop reports and dashboards in Power BI.
• Expertise to troubleshoot performance issues and optimize the Azure models, reports, and dashboards.
• Should have exposure to work in Cognitive Services, Log analytics, Function app, Logic App and so on.
• Should have strong analytical skill.
• Preferred Microsoft Certified Data Engineers.
• Strong understanding of web technologies, relational databases, and data warehousing, plus ETL design.
• Should have good communication skill to interact with different stakeholders.

Responsibilities:

• Execute the various software development lifecycle (SDLC) activities including user stories, use cases, software requirements, design, development and testing.
• Implement and maintain software products ensuring the effectiveness of the quality.
• Develop test plans and test cases for software components.
• Design and implement the optimal data pipeline to ingest and orchestrate the data in Azure to fulfill the business requirements.