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Data Engineer
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Data Engineer

Ankita Kale's profile picture
Posted by Ankita Kale
1 - 5 yrs
₹3L - ₹10L / yr
Pune
Skills
ETL
Hadoop
Apache Hive
skill iconJava
Spark
SQL
Linux/Unix
  • Core Java: advanced level competency, should have worked on projects with core Java development.

 

  • Linux shell : advanced level competency, work experience with Linux shell scripting, knowledge and experience to use important shell commands

 

  • Rdbms, SQL: advanced level competency, Should have expertise in SQL query language syntax, should be well versed with aggregations, joins of SQL query language.

 

  • Data structures and problem solving: should have ability to use appropriate data structure.

 

  • AWS cloud : Good to have experience with aws serverless toolset along with aws infra

 

  • Data Engineering ecosystem : Good to have experience and knowledge of data engineering, ETL, data warehouse (any toolset)

 

  • Hadoop, HDFS, YARN : Should have introduction to internal working of these toolsets

 

  • HIVE, MapReduce, Spark: Good to have experience developing transformations using hive queries, MapReduce job implementation and Spark Job Implementation. Spark implementation in Scala will be plus point.

 

  • Airflow, Oozie, Sqoop, Zookeeper, Kafka: Good to have knowledge about purpose and working of these technology toolsets. Working experience will be a plus point here.

 

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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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About dataeaze systems

Founded :
2015
Type :
Services
Size :
20-100
Stage :
Profitable

About

We assist organisations to build their analytics data strategy around modern data platform
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Ankita Kale

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