Data Engineer-I

Job Description

• Skilled Data Engineer with 0-1 years of relevant experience in SQL, PySpark, ETL, Data Lakes and Azure Tech Stack.

Responsibilities

• 0-1 years of experience in building data Pipelines with Python/PySpark.
• 0-1 years of experience in Azure ETL stack ( eg. Blog Storage, Data Lake, Data Factory, Synapse).
• 0-1 years of experience with SQL.

Qualifications

• Excellent verbal and written communication skills.
• UG: B.Sc in Any Specialization, BCA in Any Specialization, B.Tech/B.E. in Any Specialization.
• A good internet connection is a must.
• Azure certifications will be a bonus

Role: 

Data EngineerIndustry Type: 

IT Services & ConsultingDepartment: 

Engineering – Software & QAEmployment Type: 

Full Time, PermanentRole Category: 

Software Development

EducationUG: 

B.Sc in Any Specialization, B.Tech/B.E. in Any Specialization, BCA in ComputersPG: 

Any Postgraduate

Key Skills

hivepythonvmwarepysparkdatafactorymicrosoft azuredata pipelinedata engineeringsql serversqldockeractive directorywritten communicationsparkdevopsazure stackhadoopetlawscloud computingdata lakecommunication skillsarchitecture