Azure Data Engineer -Gurugram - Manager

• Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems,    or a related technical discipline 

• 9+ years of relevant experience in data engineering roles 

• Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding 

• Proficient in at least one or more programming languages: Python, Scala 

• Experienced with Azure services such as Synapse Analytics, Azure Databricks, Serverless Architecture, Integration Services 

• Exposure to data visualization and reporting with tools such as PowerBI 

• Up to speed on recent advances in distributed systems (e.g. MapReduce, MPP architectures, and NoSQL databases). 

• Understand how to design, implement, and maintain a platform providing secured access to large datasets 

Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems,    or a related technical discipline 

9+ years of relevant experience in data engineering roles 

Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding 

Proficient in at least one or more programming languages: Python, Scala 

Experienced with Azure services such as Synapse Analytics, Azure Databricks, Serverless Architecture, Integration Services 

Exposure to data visualization and reporting with tools such as PowerBI 

Up to speed on recent advances in distributed systems (e.g. MapReduce, MPP architectures, and NoSQL databases). 

Understand how to design, implement, and maintain a platform providing secured access to large datasets 

Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems,    or a related technical discipline 

9+ years of relevant experience in data engineering roles 

Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding 

Proficient in at least one or more programming languages: Python, Scala 

Experienced with Azure services such as Synapse Analytics, Azure Databricks, Serverless Architecture, Integration Services 

Exposure to data visualization and reporting with tools such as PowerBI 

Up to speed on recent advances in distributed systems (e.g. MapReduce, MPP architectures, and NoSQL databases). 

Understand how to design, implement, and maintain a platform providing secured access to large datasets