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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 Analytics team the Analytics Azure Data Engineer must possess following skills:
7-10yrs 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.
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.
Work arrangement
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