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AI-Driven Data Engineer

LinkedIn Corporation

All India, Chennai • 1 month ago

Experience: 5 to 9 Yrs

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Job Description

As an AI-Driven Data Engineer with 5+ years of experience in modern data platforms and Generative AI, you have an opportunity to work for a reputed MNC client on a Contract-to-Hire basis. This is a fully remote role based in India, with occasional visits required for initial formalities. Your primary engagement will be focused on data processing and transformation at scale using PySpark, advanced querying and optimization with SQL, and building data pipelines and workflows with Databricks. Key Responsibilities: - Utilize PySpark for data processing and transformation at scale - Demonstrate advanced querying and optimization skills with SQL - Develop data pipelines, workflows, and Delta Lake processes using Databricks - Implement data governance and access control with Unity Catalog - Work with LLMs & Generative AI for text generation, summarization, classification, and building AI-powered data pipelines Qualifications Required: - 5+ years of experience in Data Engineering - Proficiency in PySpark, SQL, Databricks, Unity Catalog, and Generative AI - Exposure to GPT-based or open-source LLMs - Familiarity with Kubernetes for container orchestration - Experience with observability and monitoring tools like Prometheus, Grafana, Datadog, and ELK Stack Additional Details: You will have the opportunity to work on innovative projects involving AI Agents and cutting-edge technologies. The company values candidates who can join immediately or within 15 days. To apply, please email your details with the subject line "AI-Driven Data Engineer | [Your Name]" and provide the requested information including your full name, mobile number, current and preferred locations, total and relevant experience, current and expected CTC, notice period, PF account status, and comfort level with the Contract-to-Hire role. #RemoteJobs #WorkFromHome #DataEngineer #GenAI #LLM #Databricks #PySpark #AIJobs #HiringNow #ContractToHire #TechJobsIndia #Kubernetes #Observability #OpenToWork #HiringAlert As an AI-Driven Data Engineer with 5+ years of experience in modern data platforms and Generative AI, you have an opportunity to work for a reputed MNC client on a Contract-to-Hire basis. This is a fully remote role based in India, with occasional visits required for initial formalities. Your primary engagement will be focused on data processing and transformation at scale using PySpark, advanced querying and optimization with SQL, and building data pipelines and workflows with Databricks. Key Responsibilities: - Utilize PySpark for data processing and transformation at scale - Demonstrate advanced querying and optimization skills with SQL - Develop data pipelines, workflows, and Delta Lake processes using Databricks - Implement data governance and access control with Unity Catalog - Work with LLMs & Generative AI for text generation, summarization, classification, and building AI-powered data pipelines Qualifications Required: - 5+ years of experience in Data Engineering - Proficiency in PySpark, SQL, Databricks, Unity Catalog, and Generative AI - Exposure to GPT-based or open-source LLMs - Familiarity with Kubernetes for container orchestration - Experience with observability and monitoring tools like Prometheus, Grafana, Datadog, and ELK Stack Additional Details: You will have the opportunity to work on innovative projects involving AI Agents and cutting-edge technologies. The company values candidates who can join immediately or within 15 days. To apply, please email your details with the subject line "AI-Driven Data Engineer | [Your Name]" and provide the requested information including your full name, mobile number, current and preferred locations, total and relevant experience, current and expected CTC, notice period, PF account status, and comfort level with the Contract-to-Hire role. #RemoteJobs #WorkFromHome #DataEngineer #GenAI #LLM #Databricks #PySpark #AIJobs #HiringNow #ContractToHire #TechJobsIndia #Kubernetes #Observability #OpenToWork #HiringAlert

Posted on: March 23, 2026

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