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Req ID: 193167
NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Sr. Data Architect (remote) to join our team in Mclean, Virginia (US-VA), United States (US). (Remote)Responsibilities:- Provide top-quality solution design and execution
- Provide support in defining the scope and sizing of work
- Align the organization's big data solutions with the Client initiatives as requested
- Engage with clients to understand strategic requirements
- Responsible for translating business requirements into technology solutions
- Work with domain experts to put together a delivery plan and stay on track
- Ensuring the integrity of data backup and storage systems
- Monitoring security software and tools
- Managing the configuration of operating systems
- Responding to security or usability concerns quickly
- Anticipating possible problems and resolving them before they impact users when possible
- Preparing reports for supervisors
- 10+ years of total Experience in Java/Scala.
- Minimum of 5+ years of hands-on experience in Hadoop programming
- Minimum of 5+ years of hands-on experience in Java, Scala, and Spark
- Additional 3+ years of hands-on experience with but not limited to the following:
- Kafka, NiFi, AWS, Maven, Stash and Bamboo
- Hands-on experience to write MapReduce jobs. - Good knowledge on spark architecture.
- Writing high-performance, reliable and maintainable code. - Good knowledge of database structures, theories, principles, and practices.
- Good understanding of Hadoop, YARN, AWS EMR
- Familiarity with data loading tools like Talend, and Sqoop - Familiarity with cloud databases like AWS Redshift, and Aurora MySQL.
- Familiarity of Apache Zeppelin/EMR Notebook.
- Knowledge of workflow/schedulers like Oozie or Apache AirFlow.
- Analytical and problem-solving skills, applied to the Big Data domain - Strong exposure to Object Oriented concepts and implementation
- Proven understanding of Hadoop, HBase, Hive, and HBase - Good aptitude in multi-threading and concurrency concepts
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Vacancy expired!