Big Data Engineer Job in Gurgaon at Number Theory
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Big Data Engineer


Start date
Starts Immediately
4 - 12 LPA
Apply By
20 Nov' 20
The hiring for this job will be online and the company will provide work from home/ deferred joining till current COVID-19 situation improves
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About Number Theory
Number Theory is a product based company. Its product suite is built on Apache Hadoop, Spark, and related ecosystem components. Number Theory's product suite comprises of NDP-NT enterprise to manage, store, and process NSP-NT enterprise streaming platform to store and process data in motion and NAI-NT artificial intelligence at scale platform to generate actionable insights using advanced AI algorithms and learn from historical and real-time decisions. The soul of Number Theory is the passion for solving real-world problems and to create knowledge.
About the job
Key responsibilities:

1. Develop new Hadoop base ELT/ETL models
2. Develop visualization solution on top of Hadoop results
3. Implement a data pipeline process to consume data in a secure fashion
4. Deploy Hadoop ELT/ETL in the production environment
5. Monitor Hadoop environment, ELT, and ETL
6. Handle customer projects on Cloudera Hadoop
7. Work on performance tuning of Hadoop ELTs & queries
8. Schedule advanced workflows for Hadoop
9. Work on performance tuning of large scale Hadoop architecture
Skill(s) required
Java SQL Hadoop NoSQL Elasticsearch
Learn these skills on Internshala Trainings
Who can apply

1. Experience in cleansing and transforming data on Cloudera Hadoop/Spark, SQL based databases, Impala, Pig, Hive, ELT/ETL, Real-time processing, and Hadoop Ecosystem

2. Experience in Oozie, Talend/Pentaho job scheduler, and Crontab scheduler

3. Should have set up Cloudera Hadoop architecture for at least 1-2 projects for large scale data processing

4. Experience on Cloudera analytics DB as a Cloudera Hadoop architect

5. Experience in setting layered Hadoop architecture – staging, aggregation, etc.

6. Experience in delivering end to end Hadoop project

7. Experience in SQL required

8. Experience in Java required

9. Collaborative team player


CTC: 4 - 12 LPA

CTC breakup

1. Fixed component: 80%

2. Variable component: 20%

Informal dress code 5 days a week Free snacks & beverages
Number of openings

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