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
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...
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
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
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