Careers

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We are creative individuals who band together on challenges that extend well outside of any one comfort zone—from foundational technology to user empathy, from interaction design to scalable infrastructure, from machine learning to language design to data visualization. Challenge yourself. Collaborate with world-class peers. Create something special.

Join us as we change the way that people work with data and computation.

Open Positions




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Location : Ho

Experience : 3t

Notice Period : Yes

Roles and Responsibilities :

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Sr. Hadoop Admin - Cloudera/ Hortonworks

Location : Visakhapatnam

Experience : 3-5 years

Notice Period : 30 days

Roles and Responsibilities :

  • Design & implement new components and various emerging technologies in Hadoop Eco System, and successful execution of various projects.
  • Integrate external data sources and create data lake/data mart.
  • Integrate machine learning models on real-time input data stream.
  • Collaborate with various cross-functional teams: infrastructure, network, database.
  • Work with various teams to set up new Hadoop users, security and platform governance which should be pci-dss complaint.
  • Create and executive capacity planning strategy process for the Hadoop platform.
  • Monitor job performances, file system/disk-space management, cluster & database connectivity, log files, management of backup/security and troubleshooting various user issues.
  • Design, implement, test and document performance benchmarking strategy for the platform as well for each use cases.
  • Drive customer communication during critical events and participate/lead various operational improvement initiatives.
  • Responsible for setup, administration, and monitoring, tuning, optimizing, governing Large Scale
  • Hadoop Cluster and Hadoop components: On-Premise/Cloud to meet high availability/uptime requirements.? - 2-4 years relevant experience in BIG DATA.
  • Exposure to Cloudera/Hortonworks production implementations.
  • Knowledge of Linux and shell scripting is a must.
  • Sound knowledge on Python or Scala.
  • Sound knowledge on Spark, HDFS/HIVE/HBASE
  • Thorough understanding of Hadoop, Spark, and ecosystem components.
  • Must be proficient with data ingestion tools like sqoop, flume, talend, and Kafka.
  • Candidates having knowledge on Machine Learning using Spark will be given preference.
  • Knowledge of Spark & Hadoop is a must.
  • Knowledge of AWS and Google Cloud Platform and their various components is preferable.