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Big Data Solutions Engineer
Job in
Bridgewater, Plymouth County, Massachusetts, 02324, USA
Listed on 2025-12-31
Listing for:
Jobsbridge
Full Time
position Listed on 2025-12-31
Job specializations:
-
Engineering
Data Engineer -
IT/Tech
Data Engineer
Job Description & How to Apply Below
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 DescriptionThe ideal candidate will have experience with Hadoop, Big Data, and related technologies such as Flume, Storm, and Hive.
Job Details:
- Total
Experience:
2 years - Max Salary:
Not Mentioned - Employment Type:
Direct Jobs (Full Time) - Domain:
Any
OPT and EAD candidates are eligible to apply.
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.
- BS in Computer Science or related area
- Minimum 2 years of experience on Big Data Platform
- Proficiency with Java, Python, Scala, HBase, Hive, Map Reduce, ETL, Kafka, Mongo, Postgres, and Visualization technologies
- Flair for data, schema, data model, and efficiency in big data related life cycle
- Understanding of automated QA needs related to Big data
- Understanding of various Visualization platforms (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
- 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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