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Interview as a Service for AWS Data Engineer

4.2
 (22k interviews done)

This interview requires skills of Airflow, Data Engineering, ETL pipelines with AWS, 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 AWS + Python
Data engineering + ETL pipelines with AWS + Python
Candidate will be interviewed on Data Engineering, ETL pipelines with AWS and Python in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with AWS, Python
Request interviewer
1h
Data engineering + ETL pipelines with AWS + Scala
Data engineering + ETL pipelines with AWS + Scala
Candidate will be interviewed on Data Engineering, ETL pipelines with AWS and Scala in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with AWS, Scala
Request interviewer
1h
Data engineering + ETL pipelines with AWS + Spark
Data engineering + ETL pipelines with AWS + Spark
Candidate will be interviewed on Data Engineering, ETL pipelines with AWS and Spark in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with AWS, Spark
Request interviewer
1h
Data engineering + ETL pipelines with AWS + Python + SQL
Data engineering + ETL pipelines with AWS + Python + SQL
Candidate will be interviewed on Data Engineering, ETL pipelines with AWS, Python and SQL in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with AWS, Python, SQL
Request interviewer
1h
Data engineering + ETL pipelines with AWS + Scala + SQL
Data engineering + ETL pipelines with AWS + Scala + SQL
Candidate will be interviewed on Data Engineering, ETL pipelines with AWS, Scala and SQL in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with AWS, Scala, SQL
Request interviewer
1h
Data engineering + ETL pipelines with AWS + Spark + SQL
Data engineering + ETL pipelines with AWS + Spark + SQL
Candidate will be interviewed on Data Engineering, ETL pipelines with AWS, Spark and SQL in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with AWS, Spark, SQL
Request interviewer
1h
Data engineering + ETL pipelines with AWS + Python + Airflow
Data engineering + ETL pipelines with AWS + Python + Airflow
Candidate will be interviewed on Data Engineering, ETL pipelines with AWS, Python and Airflow in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with AWS, Python, Airflow
Request interviewer
1h
Data engineering + ETL pipelines with AWS + Scala + Airflow
Data engineering + ETL pipelines with AWS + Scala + Airflow
Candidate will be interviewed on Data Engineering, ETL pipelines with AWS, Scala and Airflow in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with AWS, Scala, Airflow
Request interviewer
1h
Data engineering + ETL pipelines with AWS + Spark + Airflow
Data engineering + ETL pipelines with AWS + Spark + Airflow
Candidate will be interviewed on Data Engineering, ETL pipelines with AWS, Spark and Airflow in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with AWS, Spark, Airflow
Request interviewer
1h
Data engineering + ETL pipelines with AWS + Python + SQL
Data engineering + ETL pipelines with AWS + Python + SQL
Candidate will be interviewed on Data Engineering, ETL pipelines with AWS, Python and SQL in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with AWS, Python, SQL
Request interviewer
1h
Data engineering + ETL pipelines with AWS + Scala + SQL
Data engineering + ETL pipelines with AWS + Scala + SQL
Candidate will be interviewed on Data Engineering, ETL pipelines with AWS, Scala and SQL in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with AWS, Scala, SQL
Request interviewer
1h
Data engineering + ETL pipelines with AWS + Spark + SQL
Data engineering + ETL pipelines with AWS + Spark + SQL
Candidate will be interviewed on Data Engineering, ETL pipelines with AWS, Spark and SQL in the context of Data Engineering.
Must have: Data Engineering, ETL pipelines with AWS, Spark, SQL
Request interviewer
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Rahul Vaidya
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Ankit Gupta
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Shiresh Naik
Software Developer
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