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Big Data Engineer- DT0819
Big Data Engineer- DT0819
EnterpriseMinds's logo

Big Data Engineer- DT0819

Rani Galipalli's profile picture
Posted by Rani Galipalli
4 - 8 yrs
₹8L - ₹25L / yr
Remote only
Skills
PySpark
Data engineering
Big Data
Hadoop
Spark
Apache Hive
skill iconScala

Job Description

 

  1. Solid technical skills with a proven and successful history working with data at scale and empowering organizations through data
  2. Big data processing frameworks: Spark, Scala, Hadoop, Hive, Kafka, EMR with Python
  3. Advanced experience and hands-on architecture and administration experience on big data platforms

 

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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 EnterpriseMinds

Founded :
2017
Type :
Products & Services
Size :
100-1000
Stage :
Profitable

About

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.


Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.


We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.


Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.


We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.


We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.

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Shubham Vishwakarma

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