Experience with Azure data services including Azure Data Lake, Azure Data Factory, and Azure Data Pipelines, Synapse Analytics is mandatory.Expertise in SQL, Python, Py-Spark or Spark-SQL.Expertise to develop reports/dashboards in Power BI.Expertise to troubleshoot performance issues & optimize the Azure models, reports & dashboards.Should have exposure to work in Cognitive Services, Log analytics, Function app, Logic App and so on.Should have solid analytical skill.Preferred Microsoft Certified Data Engineers.Strong understanding of web technologies, relational databases, and data warehousing, plus ETL designShould 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 testingImplement and maintain software products ensuring the effectiveness of the qualityDevelop test plans and test cases for software componentsDesign and implement the optimal data pipeline to ingest and orchestrate the data in Azure to fulfill the business requirements.

📌 Azure Data Engineer (Mumbai)
🏢 Infosys
📍 Mumbai