Azure Data Engineer

About Kagool

embrace the opportunities

About the job

Kagool helps global enterprises modernize their Data and Analytics landscapes using Azure. We are rapidly growing our Data Engineering practice and looking for hard working passionate team members to join our exciting journey.  

We are looking to expand our current team and need experienced individuals who can lead our ongoing and upcoming projects in this space. You will be given significant training and development opportunities whilst working on projects for global household names. 

Successful candidates will understand modern data platform architecture and have solved complex technical problems to deliver to clients’ requirements. You will be a competent team player, developing simple and straightforward solutions that are scalable, utilizing appropriate technologies and engineering best practices. 

If you do not meet the experience, please do not apply. A technical interview will be performed to assess competency and skill against the below. 

Key Responsibilities

• Build highly efficient and scalable ETL processes using big data technology 
• Deploy code to production and maintain the stability of the production environment 
• Leverage large scale cloud infrastructure to build high throughput services 
• Designing and implementing code in SQL/Python 
• Good understanding and implementation experience in Data Governance, Data Quality, Data Modelling etc. 
• Presentation skills with a high degree of comfort with both large and small audiences 
• Strong communication and collaboration abilities in addition to technical depth 
• Ensure projects are delivered on time and to the satisfaction of the stakeholder 

Experience required

• 3+ years of experience as a data engineer/similar 
• Significant experience with Azure services and worked on Azure data projects 
• Experience with Azure cloud services: ADF, ADB, Azure SQL server 
• Should have worked in Azure data bricks orchestration with any language (like R, Scala, Python, SQL) 
• Should have developed Azure data factory pipelines 
• Should have knowledge or worked on Azure synapse analytics. 
• Experience with DevOps, Continuous Delivery 
• Experience with object-oriented/object function scripting languages: Python. 
• SAP experience (bonus; not essential) 
• Knowledge with any of the following programming/scripting languages: Python, Java, Scala 
• Knowledge of Agile Methodologies 
• Knowledge on orchestrating workloads on cloud 
• Knowledge on legacy Database Migration. 

Career at Kagool

A career at Kagool will give you a path towards progression and opportunities, with the current rate of growth we at Kagool have dedicated time towards individual growth, recognizing individual contributions, filling the team with a strong sense of purpose along with providing a fun, flexible and friendly work environment.