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Need to have Hadoop developement experience
The candidate must have strong experience/exposure across the entire data landscape with the ability to extend traditional data architecture techniques to include big data components. This includes Data Strategy and Architecture development, Data Governance, Master Data Management, Metadata management, Data Integration/ingestion, Data Quality management, Data modeling, Data warehousing, Business Intelligence and advanced Analytics.
Must possess a thorough understanding of data management as well as big data technology, tools, processes and data architecture best practices to guide data and big data centric initiatives.
Demonstrated ability to liaise closely with business and IT leadership to establish, defend, and negotiate the approach for implementing data management solutions.
Serves as an expert consultant to senior IT leadership on Data architecture and enterprise data initiatives.
Strong communication, organizational, interpersonal and time management skills; must have the ability to work independently with minimal direction or supervision in a team setting and dynamic environment.
Ability to identify and articulate domain specific use cases that can take advantage of big data tools and technologies.
Required Job Functions:
5+ years of experience with the Hadoop ecosystem and Big Data technologies
Expert level software development experience
Ability to dynamically adapt to conventional big-data frameworks and tools with the use-cases required by the project
Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hbase, Hive, Impala, Spark, Kafka, Kudu, Solr)
Experience with building stream-processing systems using solutions such as spark-streaming, Storm or Flink etc
Experience in other open-sources like Druid, Elastic Search, Logstash etc is a plus
Knowledge of design strategies for developing scalable, resilient, always-on data lake
Some knowledge of agile(scrum) development methodology is a plus
Hadoop/Cloud Developer Certification
MongoDB Developer Certification
Experience deploying applications in a cloud environment; ability to architect, design, deploy and manage cloud based Hadoop clusters
NTT DATA Services is a leading IT services provider and global innovation partner with 130,000 professionals based in over 50 countries. NTT DATA recently acquired Dell Services. NTT DATA Services emphasizes long-term commitment and combines global reach and local intimacy to provide premier professional services, including consulting, application services, business process, IT outsourcing, and cloud-based solutions. We are a part of NTT Group, one of the world's largest technology services companies, generating more than $100 billion in annual revenues and partner to 80% of the Fortune 100. Visit www.nttdataservices.com to learn how our consultants, projects, managed services, and outsourcing engagements deliver value for a wide range of businesses and government agencies.
The Company is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. The Company will consider all qualified applicants for employment without regard to race, color, religious creed, citizenship, national origin, ancestry, age, sex, sexual orientation, genetic information, physical or mental disability, veteran or marital status, or any other class protected by law. To comply with applicable laws ensuring equal employment opportunities to qualified individuals with a disability, the Company will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship to the Company would result.
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