Clinisys is Hiring Data Engineer

With an emphasis on user-centric workflow correctness, you will be conceiving, building, and unit testing product features for our scientific and healthcare suite of products as a Senior Software Engineer working in a dynamic, multifunctional Agile development team. Your ability to work well in a matrix organization, a genuine love for high-quality software, and a commitment to customer satisfaction are all necessary for success in this position. You'll need to be persistent, have a good outlook, enjoy solving problems, and be able to interact with individuals at all levels of a product development company.

Responsibilities :

1. Take use of the right tools and methods to extract data from on-premises databases.
2. Make sure the data is ready for PowerBI analysis by cleaning and transforming it.
3. For frequent data refreshes in PowerBI, create and manage data pipelines.
4. Azure Synapse pipelines for the extraction and transformation of on-premise data are monitored and maintained.
5. Work together with analysts to comprehend the needs for data and the structure of the model.
6. Optimize data processing performance and troubleshoot problems with the data pipeline.
7. Work together with business analysts to better understand pipeline designs and data requirements.
8. Keep abreast with developments in Azure Synapse and investigate fresh avenues for data integration.
9. Every other task and obligation that has been delegated.
10. The abilities required for success

Requirements :

1. Bachelors degree in Engineering, Computer Science or related discipline or equivalent experience
2. At least 5 years of experience with the following or similar:
3. Data Engineering and Data Management: Azure Data Lake Storage, Azure Monitor, Azure Data Factory, Azure Stream Analytics, Azure Data Catalog
4. Programming skills: Expertise in languages such as Python or R for data manipulation, model development, and analysis.
5. RDBMS design (SQL Server, T-SQL, Oracle, etc.)
6. Strong understanding of laboratory workflows and processes
7. Familiarity with relevant laboratory procedures and tests
8. Awareness of regulatory requirements and compliance standards