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 :
- Design, develop, and maintain scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, and Microsoft Azure services.
- Build and optimize ETL/ELT processes for enterprise data platforms.
- Develop data transformation logic using SQL, Python, and Apache Spark.
- Implement data integration solutions across multiple enterprise systems.
- Design and maintain relational database (RDBMS) solutions.
- Build data models that support analytics and reporting requirements.
- Develop datasets for dashboards and reports in Power BI.
- Collaborate with Business Analysts, Product Owners, and stakeholders to understand business requirements.
- Participate in the full Software Development Life Cycle (SDLC), including design, development, testing, deployment, and support.
- Implement user stories and maintain high-quality software solutions.
- Monitor and optimize data pipeline performance.
- Ensure data quality,
security, scalability, and reliability.
- Contribute to architecture discussions and continuous improvement initiatives.
Required Qualifications :
- 5+ years of experience as a Data Engineer.
- Strong hands-on experience with Azure Data Factory (ADF) and Azure Synapse Analytics.
- Strong SQL programming skills.
- Experience with Python and Apache Spark.
- Experience developing ETL/ELT pipelines.
- Solid knowledge of relational databases (RDBMS).
- Experience developing reports and dashboards using Power BI.
- Experience with Azure data services and cloud-native architectures.
- Understanding of Software Development Life Cycle (SDLC).
- Experience implementing user stories in Agile environments.
Preferred Qualifications :
- Microsoft Certified : Azure Data Engineer Associate (DP-203) or equivalent Azure Data Engineering certification.
- Experience with Azure Cognitive Services.
- Experience with Azure Logic Apps.
- Experience working in Pharmaceutical or Life Sciences projects.
- Familiarity with Microsoft Fabric is a plus.
- Experience with CI/CD pipelines and Azure DevOps.
📌 Azure Data Engineer (India)
🏢 Customertimes
📍 India
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