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Data Engineer

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Onsite

Data Engineer

Crimson Interactive

Data Engineer

Skills

Big DataMongoDBTableauDockerPythonJavaRMySQLKafkaRedisNeo4jMachine LearningAIElasticsearchKubernetesNLP / Natural Language ProcessingHadoop

14 days ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


Job highlights

  • BTech / MTech/ME / MCA from a reputed Engineering college. 0-2 years of industry experience.
  • Experience of handling various data types and structures-structured and unstructured data-validating and cleaning data,and measuring evaluation.
  • Experience with cloud services.
  • Experience with one or more visualization tools like Tableau,etc.

We are looking for a Data Engineer who will identify and implement the best data-driven methodologies considering the product requirements.

Key Responsibilities

  • Create, build and design data management systems across an entire organization
  • Work with very large data sets (both structured and unstructured)
  • Help data scientist to easily retrieve the needed data for their evaluations and experiments
  • Design, develop, and implement R&D and pre-product prototype solutions
  • Must have strong engineering skills that will help engineering team to productivize NLP/ML algorithms
  • Implement scalable, maintainable, well documented, and high-quality solutions
  • Stay abreast of the new developments in Artificial Intelligence (AI)/Machine Learning (ML)
  • Contribute to the research strategy and technical culture of the team

Skills Required:

  • BTech/MTech/ME/MCA from a reputed Engineering college
  • 0-2 years of industry experience
  • Extremely curious and relentless at figuring out solutions to problems
  • Knowledge of Big Data platforms like Hadoop and their eco-systems
  • Proficiency in programming languages like Java/C/C++/Python
  • Experience with cloud services
  • Exposure to NLP and related services
  • Experience with one or more visualization tools like Tableau, etc
  • Experience with Docker, Kubernetes, Kafka, Elasticsearch, Lucene
  • Experience with relational or NoSQL databases such as MySQL, MongoDB, Redis, Neo4j
  • Experience of handling various data types and structures-structured and unstructured data-validating and cleaning data, and measuring evaluation
  • Excellent understanding of machine learning techniques

If this opportunity sounds exciting, shoot us an email at

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