Big Data Solutions Engineer

Company Description Jobs Bridge Inc is among the fastest growing IT staffing / professional services organization with its own job portal. Jobs Bridge works extremely closely with a large number of IT organizations in the most in-demand technology skill sets.

Job Description

Skill Hadoop Big Data Big Data Engineer Flume Storm Hive Location Bridgewater, NJ Total Experience 2 yrs. Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description OPT and EAD can apply

Desired Skills and Experience

Job Responsibilities:

Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time.

Collaborate with other teams to design and develop and deploy data tools that support both operations and product use cases.

Perform offline analysis of large data sets using components from the Hadoop ecosystem.

Evaluate and advise on technical aspects of open work requests in the product backlog with the project lead.

Own product features from the development phase through to production deployment.

Evaluate big data technologies and prototype solutions to improve our data processing architecture.

Candidate Profile:

BS in Computer Science or related area

software development experience

Minimum 2 Year Experience on Big Data Platform

Proficiency with Java, Python, Scala, HBase, Hive, MapReduce, ETL, Kafka, Mongo, Postgres, Visualization technologies etc.

Flair for data, schema, data model, how to bring efficiency in big data related life cycle

Understanding of automated QA needs related to Big data

Understanding of various Visualization platform (Tableau, D3JS, others)

Proficiency with agile or lean development practices

Strong object-oriented design and analysis skills

Excellent technical and organizational skills

Excellent written and verbal communication skills

Top skill sets / technologies in the ideal candidate:

• Programming language -- Java (must), Python, Scala, Ruby
• Batch processing -- Hadoop MapReduce, Cascading/Scalding, Apache Spark
• Stream processing -- Apache Storm, AKKA, Samza, Spark streaming
• NoSQL -- HBase, MongoDB, Cassandra, Riak,
• ETL Tools Data Stage, Informatica,
• Code/Build/Deployment -- git, hg, svn, maven, sbt, jenkins, bamboo

Technologies that we use include:

R Java Hadoop/MapReduce Flume Storm Kafka MemSQL Pig Hive Tableau Integration ETL Additional Information Multiple Openings