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Data Scientist

Location: Bangalore, Karnataka, India
Job ID: R0004888
Date Posted: Nov 28, 2021
Segment: Others (Including Headquarters and R&D )
Business Unit: Hitachi Regional Headquarters
Company Name: Hitachi India Pvt, Ltd.
Profession (Job Category): Engineering & Science
Job Type (Experience Level): Entry Level
Job Schedule: Full time
Remote: No

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Description

Duties and Responsibilities:

  • Implement the application solving customer’s issue by applying AI/ML technologies
  • Apply ML and DL models for various industry problems.
  • Setting-up collaboration environment and framework for AI related research and development projects.
  • Design and develop different architectural models for scalable data storage, processing, and large-scale analytics.
  • Work with cross-functional teams to understand technical needs.
  • Set-up big data environment that helps establish rapid POCs and prototype developments on both on-premises and cloud-based platforms.
  • Monitor and optimize performance of the big data ecosystem.
  • Ensure data accessibility to researchers via different programming languages.
  • Keep up to date with state of the art in the industry.

Qualifications:

Minimum

  • Bachelor’s degree in Computer Science with substantial industry experience of 5 years or more of Data Engineering/ETL/Administration experience.
  • Hands-on experience in Statistical data analysis and Machine learning
  • Possess significant knowledge of Big Data technologies and tools.
  • Good coding skills in at least one scripting language (Shell, Python, R, etc.)
  • Experience with various Hadoop distribution like Hortonworks and Cloudera.
  • Knowledge of cluster monitoring tools like Ambari, Ganglia, or Nagios.
  • Delivered Big Data solutions in the cloud with AWS or Azure or Google Cloud.
  • Experience in Java programming, Scala programming.
  • Experience with RDBMS (MySQL, PostgreSQL, etc.)
  • Experience with NoSQL database administration & development like MongoDB.
  • Experience with Hadoop eco-system (MapReduce, Streaming, Pig, HIVE, Spark).
  • Experience using DevOps toolbox such as Jenkins, Chef, Puppet.
  • Proven ability to create and manage big data pipeline using Kafka, Flume & Spark
  • Knowledge of BI tools such as Tableau, Pentaho, etc.
  • Experience building large-scale distributed applications and services.
  • Experience with agile development methodologies.
  • Knowledge of industry standards and trends.
  • Good communication, logical thinking, and presentation skills.

Additional qualifications (preferred but not mandatory):

  • Master’s degree in Computer Science or equivalent with at least 5 years industry experience of data engineering/ETL/Administration.
  • Experience applying Deep learning.
  • Substantial industry experience developing prototypes and demonstrating PoCs.
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