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Bigdata Architect

3.00 to 6.00 Years   Bangalore   09 Jun, 2021
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Hardware / Networking
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Customer Solution Centers are made up of teams that provide remote (offsite) service; customer access, pre-sales, post-sales, and service delivery. Technical teams focus is to solve various business systems and applications problems for customers, onsite engineering personnel and Authorized Service Providers on standard, specialized or complex systems.Primary Job Responsibilities:

  • Ability to evaluate the documents for the customer engagement and understand the request
  • Engage with customer and quickly understand the design, scope, and requirements of engagement
  • Instill confidence with the customer that the engineer has the necessary talent and skills for the engagement
  • Work with customer and project team, understanding timelines and responsibilities
  • Actively communicate status to customer, HPE account teams, and HPE leads
  • Continually research, test, investigate new technologies, methods, and features
Required:
  • Good communication, soft skills and customer handling skills required
  • Always curious and learning
  • Ability to closely follow architectural designs, scope, and requirements
  • Ability to work independentlyAND act as an integral part of a team
  • Architectural experience with Spark, AWS and Big Data(Hadoop Cloudera/Mapr/Hortonworks).
  • Experience ondesign and building of Data Lake on AWS Cloud.
  • Hands on experience in AWS/Azure/GCP Cloud and related tools, storage and architectural aspects are required.
  • Experience with integration of different data sources with Data Lake is required.
  • Experience in Big Data/Analytics/Data science tools and a good understanding of the leading products in the industry are required along with passion, curiosity and technical depth
  • Thorough understanding and working experience inMapr/Cloudera/Horton Hadoop distributions
  • Solid functional understanding of the Big Data Technologies, Streaming and NoSQL databases
  • Experience in working with Big Data eco-system including tools such as YARN, Impala, Hive, Flume, HBase, Sqoop, Apache Spark, Apache Storm, Crunch, Java, Oozie, SQOOP, Pig, Scala, Python, Kerberos/Active Directory/LDAP,KSQL,Redis,Casandra
  • Experience in solving Streaming use cases usingSpark,Spark-SQL,KSQL,Kafka,NiFi
  • Thorough understanding, strong technical/architecture insight and working experience/exposure inDocker,Kubernetes
  • Containerization experience with Big Data stack using Open Shift/Azure is added advantage
  • Exposure to Cloud computing and Object Storage services/platforms
  • Experience with Big Data deployment architecture, configuration management, monitoring, debugging and security
  • Experience in performing Cluster Sizing exercise based on capacity requirements
  • Ability to build strong partnership with internal teams, vendors on resolving product gaps/issues and escalate to the management on timely manner
  • Good Exposure to CI/CD tools, application hosting, containerization concepts
  • Excellent verbal and written skills, Team skills, Proficient with MS Visio, Strong analytical andproblem solving skills
  • Must be a self-starter, excellentcommunication and interpersonal skills.
  • Strong problem solving and analytical skills
  • Effective verbal and written communication skills.
Essential Skillset
  • SQL
  • Spark
  • Spark-SQL
  • Kafka
  • KSQL
  • ETL(ANY TOOL)
  • Python/Scala
  • HBase/Redis/Cassandra(Any NoSQL database)
  • Hadoop Development (any Distribution)
  • AWS/Azure/GCP Platform
Additional Desired SkillsTraining and experience/Exposure with Docker and Kubernetes(on premise and in the cloud)Experience working in Agile development environmentsKnowledge of CI/CD and SDLC,

Keyskills :
music makingdata modelingetlapache stormms visiosoft skillserwinapache sparkbig datainformaticateam skillsunixuse cases

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