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.

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

Skills :

- 8 - 10+ years 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 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.