Azure Data Engineer

About the job
Experience: 6-10 years

· Honest, transparent Team player and go-getter.
· Friendly and positive work culture that's based on respect for individual.
· Work in large-scale projects with onshore and offshore models.
· Health care knowledge at least 6+ years of experience.
· Knowledge of Health care Data domains and supported Data initiatives, like Data Governance, Data modelling and build data driven use cases.
· Knowledge in understanding Source to Target mapping
· Work well with Optimizers and help on performance tuning, with SQL server and Azure objects.
· Has a can-do attitude and has used cutting-edge technologies in real projects.

· Support and perform daily tasks around SQL server and ETL.
· Ability to integrate with Azure and ADF
· Very process focused and had good knowledge in the Error/Exception handling.

· Ability to code with modifications history and ability to do through unit test before passing to

· Ability to review code, trustworthy and is a leader in finishing ETL processes from Start to end without errors.
· Work in a environment with pair-programming and Agile.

KEY REsponsibilities:
Develop and maintain databases in Azure environment.
• Build ETL processes with Azure Data Factory, Azure Databricks, Data queries
• Perform migration processes to or from Azure environment.
• Azure Data Engineering: Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse
• Developing using Python/Scala and SQL server components

• Work with SQL server on a daily basis and problem solving.
• Work with RDBMS and NoSQL
• Work in the team following Agile practices.
• Support exploration and sales of new market trends to ensure growth with interesting projects that leverage the latest technologies
• Actively participate in building specialty group skills together with others