Azure Data Engineer

Role Overview

We are looking for an experienced Data Engineer to join a global pharmaceutical analytics program focused on building modern cloud-based data platforms and enterprise reporting solutions. You will design, develop, and maintain scalable data pipelines and analytics solutions using Microsoft Azure technologies.

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

Requirements

• 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 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

Skills

• Azure Data Factory
• Python
• SQL
• Py-Spark
• Power BI

Benefits

• Flexible schedule
• Health insurance
• Provident Fund