Inference Labs
3d ago
source : Shine

Job Description

The candidate will be the part of Analytical experts of the organization who would help in expanding and optimizing data, support data initiatives and data structure.

The candidate is expected to have a good command over technology and languages like Python, Hadoop, Apache Spark (SparkR, Sparklyr), C, C++ or Java, etc.

Repository maintenance in Git / GitHub, experience in maintaining security policies on Hadoop. Performance tuning in Spark, experience in setting up best practices in Hadoop and Spark based projects.

Responsibilities and Duties

The candidate will have to work on Data Warehousing and ETL tools.

The candidate will have to work on Hadoop based analysis (HBase, Hive, MapReduce, etc)

Processing structured and unstructured data

Cluster monitoring

Deploying and maintaining a Hadoop cluster, adding and removing the nodes using cluster monitoring tools like Ganglia or Cloudera manager

Configuring the name node high availability and keeping a track of all Hadoop running jobs.

resolve cluster connectivity, track, monitor and improve the performance

Coding in R programming language

Development in Jupyter Notebook and Zeppelin

Required Experience, Skills and Qualifications

Essential Qualifications :

In- depth knowledge of SQL and other database solution

Minimum 2- 4 years of experience on Hadoop technologies

Sound knowledge of Apache Spark

Sound knowledge of Python Programming, Jupyter Notebook

Excellent knowledge of UNIX / LINUX and OS

Knowledge of cluster monitoring tools like Ganglia, Ambari or Nagios

Knowledge of Networking, CPU, Memory, and Storage

Knowledge of virtual machines and their capabilities

Excellent troubleshooting capabilities in data integration

Desirable Qualification :

Informatica knowledge will be an add on.

Acquaintance with GitHub

Knowledge of programming tools like R and SAS

Knowledge of visualization tools likePowerBI, Tableau

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