Full Time Data Engineer Jobs, Salary up to SGD 10,000 in Kasi Jeyaseelan Naveen (Proprietor Of Arient Solutions) - Maukerja

Data Engineer

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 (e.g., 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.

·        Full Stack Development: Proficiency in Python, Shell scripting, REST APIs,

and web frameworks (Flask, React, etc.).

·        Machine Learning & AI: Hands-on experience with ML platforms (CML),

Spark MLlib, Python ML libraries (scikit-learn, XGBoost), and model

deployment.

·        GenAI/LLM Applications: Familiarity with building applications using large

language models (e.g., OpenAI, Hugging Face, LangChain) for enterprise use

cases.

·        Security & Governance: Experience with enterprise data security (LDAP,

Kerberos, RBAC), data masking, and access control.

·        Performance Tuning: Proven ability to optimize data applications and

queries in large-scale environments (Hadoop, Teradata).

·        Tools & Platforms: Cloudera Data Platform (CDP), Informatica, QlikSense,

Apache Oozie, Git, CI/CD pipelines.

·        Soft Skills: Strong analytical and problem-solving skills, excellent

communication, and ability to work in cross-functional teams.