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Multinational Company providing energy & Automation digital logo
Big Data Engineer + Spark
Multinational Company providing energy & Automation digital
Big Data Engineer + Spark
Multinational Company providing energy & Automation digital's logo

Big Data Engineer + Spark

at Multinational Company providing energy & Automation digital

Agency job
4 - 7 yrs
₹14L - ₹25L / yr
Hyderabad
Skills
Spark
Hadoop
Big Data
Data engineering
PySpark
skill iconScala
skill iconJava
skill iconPython
skill iconAmazon Web Services (AWS)
HDFS

Roles and Responsibilities

Big Data Engineer + Spark Responsibilies Atleast 3 to 4 years of relevant experience as Big Data Engineer Min 1 year of relevant hands-on experience into Spark framework. Minimum 4 years of Application Development experience using any programming language like Scala/Java/Python. Hands on experience on any major components in Hadoop Ecosystem like HDFS or Map or Reduce or Hive or Impala. Strong programming experience of building applications / platforms using Scala/Java/Python. Experienced in implementing Spark RDD Transformations, actions to implement business analysis. An efficient interpersonal communicator with sound analytical problemsolving skills and management capabilities. Strive to keep the slope of the learning curve high and able to quickly adapt to new environments and technologies. Good knowledge on agile methodology of Software development.
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Shubham Vishwakarma's profile image

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's profile image

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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