Staff Engineer (Data Engineer – AI & Digital Platforms)

Nagarro

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profile Job Location:

Singapore - Singapore

profile Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

Data Engineer AI & Digital Platforms

Must-Have Skills

  • Hadoop and MapReduce
  • Cloudera
  • AI-enabled Application Development
  • Machine Learning General Experience
  • LLM Application Frameworks (Capable)

Key Responsibilities

  • Design and develop scalable data pipelines across Hadoop (Hive Impala Spark Kafka Iceberg) and Teradata environments.
  • Build ingestion and transformation frameworks using Java Spark Python and Shell scripts.
  • Develop full stack applications and internal tools using Python Shell scripting and modern web frameworks (Flask React).
  • Create APIs and microservices to expose data and ML models securely to downstream systems and user interfaces.
  • Collaborate with data scientists to operationalize ML models using Cloudera Machine Learning (CML).
  • Build and deploy GenAI/LLM-powered applications for intelligent data interaction summarization and automation.
  • Implement enterprise-grade security controls including RBAC LDAP Kerberos Apache Ranger and row-level access.
  • Tune and optimize data applications for performance across Hadoop and Teradata ensuring efficient resource utilization
    • Support sandbox environments for prototyping enabling users to build ML models dashboards and data pipelines.

    Required Skills & Experience

    Data Engineering

    • Strong experience with Hadoop ecosystem (Hive Impala Spark Kafka Iceberg Ranger Atlas) Teradata and data pipeline orchestration.
    • Experience with MPP databases (e.g. Trino Presto).
    • Proven ability in development and performance tuning of large-scale data applications.

 

Full Stack Development

  • Proficiency in Python Shell scripting REST APIs and web frameworks (Flask React).

Machine Learning & AI

  • Hands-on experience with ML platforms (CML) Spark MLlib and Python ML libraries (scikit-learn XGBoost).
  • Experience in operationalizing ML models at enterprise scale.

GenAI/LLM Applications

  • Familiarity with building applications using large language models (OpenAI Hugging Face LangChain).
  • Ability to build agent workflows and support users in creating agent-based solutions.

Security & Governance

  • Experience with enterprise data security (LDAP Kerberos RBAC) data masking and access control.

Performance Tuning

  • Strong expertise in optimizing data applications and queries in Hadoop and Teradata environments.

Tools & Platforms

  • Cloudera Data Platform (CDP) Informatica QlikSense Apache Oozie Git CI/CD pipelines.

 

Soft Skills

  • Strong analytical and problem-solving skills.
  • Excellent communication abilities.
  • Ability to work effectively in cross-functional teams


Remote Work :

No


Employment Type :

Full-time

Data Engineer AI & Digital PlatformsMust-Have SkillsHadoop and MapReduceClouderaAI-enabled Application DevelopmentMachine Learning General ExperienceLLM Application Frameworks (Capable)Key ResponsibilitiesDesign and develop scalable data pipelines across Hadoop (Hive Impala Spark Kafka Iceberg) an...
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Key Skills

  • Computer Science
  • Docker
  • Kubernetes
  • Python
  • VMware
  • C/C++
  • Go
  • System Architecture
  • gRPC
  • OS Kernels
  • Perl
  • Distributed Systems

About Company

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Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and susta ... View more

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