Big Data Engineer Job in Sequretek

Education:
The candidate must have any of the below:
BE/B.Tech in Computer Science
M.C.A
Related field from reputed institute.

Experience:
Minimum 2 - 4 years of experience across design and architect large scale
real time data processing application in distributed environment.

Skills:
Strong experience in Big data, Hadoop, HBase, Hive, Spark, Yarn, Reports
Analytics etc.
Strong experience in building highly scalable, high performance data
solutions in distributed/clustered environment.
Strong experience in Python/Scala, JAVA/J2EE, Linux/Unix/Windows.
Strong experience in designing data models for large enterprise application
which can handle millions of data in real time.
Strong experience in Search engine, Elasticsearch, Logstash, and Kibana.
Strong experience with Relational database and NoSQL Databases.
Strong experience experience in data management/warehouse strategies to
handle very large volume of data in real time.
Knowledge of messaging framework, Workflow, and Rule engine are added
advantage
Good to have experience in Machine Learning.
Must be proactive and flexible and have the ability to work under pressure
and possess good follow-through skills.
Must possess excellent written and verbal communication and a quick learner.

Responsibilities:
Design and architect application to process the real time large volume data
in a distributed environment.
End to end responsibility of designing and developing high performance
scalable data solution.
Extract complex reports out the data accumulated across different data
sources.
Apply Data warehouse strategies to manage the data and server to serve the
real time requests and reporting requirement.
Continuously improve the product s performance, scalability and
manageability.
Build the required infrastructure for entire big data ecosystem which serve
requests in real time and fulfill complex report requirements.