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Senior Data Engineer

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NTT DATA

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Location:
India , Chennai

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Senior Data Engineer role involves designing and implementing data pipelines for data ingestion, cleansing, and standardization. The candidate will collaborate with Data Scientists to apply machine learning algorithms and activate models through various channels. A strong background in Big Data and Cloud Technologies, along with DevOps experience, is essential. The position requires a minimum of 10 years of relevant experience.

Job Responsibility:

  • Create the data pipeline to ingest, cleanse and standardize the data so that it can be ready for analysis
  • Once the data is processed, apply the machine learning algorithm as prescribed by the Data Scientist with the production performance readiness
  • Once the result is processed, activate the models through either Micro Services, Reporting, Dashboard, or emails

Requirements:

  • Experience with Big Data Technologies or Cloud Technologies building data pipelines
  • DevOps Experience (source control, continuous integration, deployments, etc.)
  • Experience with containerization and related technologies (e.g. Docker, Kubernetes)
  • Experience in other open-sources like Druid, Elastic Search, Logstash etc
  • Advanced knowledge of the Hadoop ecosystem and Big Data technologies
  • Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)
  • System level understanding
  • Data structures, algorithms, distributed storage & compute
  • Exposure and / or development experience in Microservices Architectures best practices
  • Experience around REST APIs, services, and API authentication schemes
  • Knowledge in RDBMS and NoSQL technologies
  • 10+ years of the following experience: Experience with Big Data Technologies or Cloud Technologies building data pipelines
  • DevOps Experience (source control, continuous integration, deployments, etc.)
  • Experience with containerization and related technologies (e.g. Docker, Kubernetes)
  • Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)

Additional Information:

Job Posted:
April 23, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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