Big Data Solutions Engineer
Listed on 2026-01-15
-
Engineering
Data Engineer -
IT/Tech
Data Engineer
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 DescriptionSkill Hadoop Big Data Big Data Engineer Flume Storm Hive
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 oventernJob 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 qualitat 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 deserves.
- Own product features from the development phase through to production deployment.
- Evaluate big data technologies and prototype solutions to improve our data processing architecture.
BS in Computer Science or related area
Minimum 2 Year Experience on Big Data Platform
Proficiency with Java, Python, Scala, HBase, Hive, Map Reduce, 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 / technologiesદદ the ideal candidate:- Batch processing -- Hadoop Map Reduce, Cascading/Scalding, Apache Spark Stream processing -- Apache Storm, AKKA, Samza, Spark streaming
- ETL Tools Data Stage, Informatica,
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