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Data Engineer
cloud Transformation products, frameworks and services
Data Engineer
cloud Transformation products, frameworks and services's logo

Data Engineer

at cloud Transformation products, frameworks and services

Agency job
3 - 8 yrs
₹20L - ₹26L / yr
Remote only
Skills
Airflow
Amazon Redshift
skill iconAmazon Web Services (AWS)
skill iconJava
ETL
Apache Hive
Apache Spark
redshift
airflow
  • Experience with Cloud native Data tools/Services such as AWS Athena, AWS Glue, Redshift Spectrum, AWS EMR, AWS Aurora, Big Query, Big Table, S3, etc.

 

  • Strong programming skills in at least one of the following languages: Java, Scala, C++.

 

  • Familiarity with a scripting language like Python as well as Unix/Linux shells.

 

  • Comfortable with multiple AWS components including RDS, AWS Lambda, AWS Glue, AWS Athena, EMR. Equivalent tools in the GCP stack will also suffice.

 

  • Strong analytical skills and advanced SQL knowledge, indexing, query optimization techniques.

 

  • Experience implementing software around data processing, metadata management, and ETL pipeline tools like Airflow.

 

Experience with the following software/tools is highly desired:

 

  • Apache Spark, Kafka, Hive, etc.

 

  • SQL and NoSQL databases like MySQL, Postgres, DynamoDB.

 

  • Workflow management tools like Airflow.

 

  • AWS cloud services: RDS, AWS Lambda, AWS Glue, AWS Athena, EMR.

 

  • Familiarity with Spark programming paradigms (batch and stream-processing).

 

  • RESTful API services.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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