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- Define, implement and validate solution frameworks and architecture patterns for data modeling, data integration, processing, reporting, analytics and visualization using leading cloud, big data, open-source and other enterprise technologies.
- Develop scalable data and analytics solutions leveraging standard platforms, frameworks,
patterns and full stack development skills.
- Analyze, characterize and understand data sources, participate in design discussions and
provide guidance related to database technology best practices.
- Write tested, robust code that can be quickly moved into production
Responsibilities :
- Experience with distributed data processing and management systems.
- Experience with cloud technologies including Spark SQL, Java/ Scala, HDFS, AWS EC2, AWS S3, etc.
- Familiarity with leveraging and modifying open source libraries to build custom frameworks.
Primary Technical Skills :
- Spark SQL, Java/ Scala, Sbt/ Maven/ Gradle, HDFS, Hive, AWS(EC2, S3, SQS, EMR, Glue Scripts, Lambda, Step Functions), IntelliJ IDE, JIRA, Git, Bitbucket/GitLab, Linux, Oozie.
We are an innovative, best-in-class digital transformation services provider led by design thinking. We help our clients — Fortune 500 companies—solve complex business problems through human-centric design and product innovation approach. We do so by simplifying our client's digital journeys to build business solutions with meaningful and long-standing customer relationships.
Job ID: 108519427
We don’t charge any money for job offers