InternshipIn Office Data & AI Engineer – GenAI PlatformsID: ONE-DAT-&-AIENG-GENPLA-NK2K
About This Role
Role Overview
We are looking for a highly skilled AWS Data Engineer with hands-on experience in modern cloud data platforms and practical exposure to AI-driven data engineering practices. The ideal candidate should have strong expertise in building scalable, secure, and high-performance data pipelines on AWS while leveraging Generative AI/LLM-assisted development, automation, and optimization techniques.
Key Responsibilities
Design, build, and optimize scalable ETL/ELT pipelines on AWS cloud.
Develop and maintain up-to-date data lake and data warehouse architectures.
Work with structured, semi-structured, and streaming data sources.
Implement data transformation, orchestration, monitoring, and quality frameworks.
Utilize AI-assisted development tools (e.g., GitHub Copilot, GenAI-based SQL/code generation, AI-powered observability) to improve productivity and engineering efficiency.
Collaborate with Data Scientists, BI teams,



and business stakeholders for analytics and AI/ML use cases.
Ensure data governance, security, performance optimization, and cost management on AWS.
Support CI/CD, Infrastructure as Code (IaC), and DevOps best practices for data platforms.
Required Skills
Large Language Models (LLMs)PythonPyTorchSQLMySQLNoSQL (MongoDBSQL (Advanced)AWSAWS (SageMaker)AWS KinesisMicrosoft AzureAzure MLAzure (Data FactoryGoogle Cloud PlatformGoogle Vertex AIdbt (Data Build Tool)Snowflake Cortex / Snowflake IntelligenceSnowflakeRetrieval-Augmented Generation (RAG)Spark SQLPySparkApache SparkSpark StreamingData AnalysisData-Driven Decision MakingVector DatabasesDatabricks MLData EngineeringData Pipelines Qualifications
Bachelor of Technology (BTech)
Bachelor of Engineering (BE)
Bachelor of Science (BSc)
Bachelor of Computer Applications (BCA)
Master of Technology (MTech)
Doctor of Philosophy (PhD)

📌 Data & AI Engineer – GenAI Platforms (Karamba)
🏢 Onelogica
📍 Karamba