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dataeaze systems
dataeaze systems cover picture
dataeaze systems logo

dataeaze systems

www.dataeaze.io
Founded :
2015
Type :
Services
Size :
20-100
Stage :
Profitable

About

We assist organisations to build their analytics data strategy around modern data platform
Read more

Connect with the team

Profile picture
Ankita Kale

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Jobs at dataeaze systems

dataeaze systems
at dataeaze systems
1 recruiter
Ankita Kale
Posted by Ankita Kale
icon

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote only
5 - 8 yrs
₹12L - ₹22L / yr
skill iconAmazon Web Services (AWS)
skill iconPython
PySpark
ETL

POST - SENIOR DATA ENGINEER WITH AWS


Experience : 5 years


Must-have:

• Highly skilled in Python and PySpark

• Have expertise in writing Glue jobs ETL script, AWS

• Experience in working with Kafka

• Extensive SQL DB experience – Postgres

Good-to-have:

• Experience in working with data analytics and modelling

• Hands on Experience of PowerBI visualization tool

• Knowledge and hands-on on version control system - Git Common:

• Excellent communication and presentation skills (written and verbal) to all levels

of an organization

• Should be results oriented with ability to prioritize and drive multiple initiatives to

complete work you're doing on time

• Proven ability to influence a diverse geographically dispersed group of

individuals to facilitate, moderate, and influence productive design and implementation

discussions driving towards results


Shifts - Flexible ( might have to work as per US Shift timings for meetings ).

Employment Type - Any

Read more
dataeaze systems
at dataeaze systems
1 recruiter
Ankita Kale
Posted by Ankita Kale
icon

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Pune
1 - 5 yrs
₹3L - ₹10L / yr
ETL
Hadoop
Apache Hive
skill iconJava
Spark
+2 more
  • 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.

 

Read more
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