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Interview as a Service for Azure Data Engineer

4.5
 (35k interviews done)

This interview requires skills of Airflow, Data Engineering, ETL pipelines with Azure, Python, SQL, Scala and Spark. Choose from the below 12 templates and request an interviewer.

Select from the following interview templates
1h
Data engineering + ETL pipelines with Azure + Python
Data engineering + ETL pipelines with Azure + Python
Candidate will be interviewed on Data Engineering, ETL pipelines with Azure and Python in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with Azure, Python
Request interviewer
1h
Data engineering + ETL pipelines with Azure + Scala
Data engineering + ETL pipelines with Azure + Scala
Candidate will be interviewed on Data Engineering, ETL pipelines with Azure and Scala in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with Azure, Scala
Request interviewer
1h
Data engineering + ETL pipelines with Azure + Spark
Data engineering + ETL pipelines with Azure + Spark
Candidate will be interviewed on Data Engineering, ETL pipelines with Azure and Spark in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with Azure, Spark
Request interviewer
1h
Data engineering + ETL pipelines with Azure + Python + SQL
Data engineering + ETL pipelines with Azure + Python + SQL
Candidate will be interviewed on Data Engineering, ETL pipelines with Azure, Python and SQL in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with Azure, Python, SQL
Request interviewer
1h
Data engineering + ETL pipelines with Azure + Scala + SQL
Data engineering + ETL pipelines with Azure + Scala + SQL
Candidate will be interviewed on Data Engineering, ETL pipelines with Azure, Scala and SQL in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with Azure, Scala, SQL
Request interviewer
1h
Data engineering + ETL pipelines with Azure + Spark + SQL
Data engineering + ETL pipelines with Azure + Spark + SQL
Candidate will be interviewed on Data Engineering, ETL pipelines with Azure, Spark and SQL in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with Azure, Spark, SQL
Request interviewer
1h
Data engineering + ETL pipelines with Azure + Python + Airflow
Data engineering + ETL pipelines with Azure + Python + Airflow
Candidate will be interviewed on Data Engineering, ETL pipelines with Azure, Python and Airflow in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with Azure, Python, Airflow
Request interviewer
1h
Data engineering + ETL pipelines with Azure + Scala + Airflow
Data engineering + ETL pipelines with Azure + Scala + Airflow
Candidate will be interviewed on Data Engineering, ETL pipelines with Azure, Scala and Airflow in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with Azure, Scala, Airflow
Request interviewer
1h
Data engineering + ETL pipelines with Azure + Spark + Airflow
Data engineering + ETL pipelines with Azure + Spark + Airflow
Candidate will be interviewed on Data Engineering, ETL pipelines with Azure, Spark and Airflow in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with Azure, Spark, Airflow
Request interviewer
1h
Data engineering + ETL pipelines with Azure + Python + SQL
Data engineering + ETL pipelines with Azure + Python + SQL
Candidate will be interviewed on Data Engineering, ETL pipelines with Azure, Python and SQL in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with Azure, Python, SQL
Request interviewer
1h
Data engineering + ETL pipelines with Azure + Scala + SQL
Data engineering + ETL pipelines with Azure + Scala + SQL
Candidate will be interviewed on Data Engineering, ETL pipelines with Azure, Scala and SQL in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with Azure, Scala, SQL
Request interviewer
1h
Data engineering + ETL pipelines with Azure + Spark + SQL
Data engineering + ETL pipelines with Azure + Spark + SQL
Candidate will be interviewed on Data Engineering, ETL pipelines with Azure, Spark and SQL in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with Azure, Spark, SQL
Request interviewer
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Rahul Vaidya
Software Developer
Communication or Articulation
Approach to the Solution
Code Structure
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Ankit Gupta
Software Developer
Communication or Articulation
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Shiresh Naik
Software Developer
Communication or Articulation
Approach to the Solution
Code Structure
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