Data / AI / GenAI – Engineering & Analytics

NeoGenCode Technologies Pvt Ltd · Gurugram

वेतन₹6L–12Lसाल, जैसा लिखा है

कहाँGurugramHaryana

प्रकारFull time4-8 years

Posted14 Oct4 दिन पहले, the company site से

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PowerBIPythonETLData engineeringAzure Data FactorydatabricksPySparkData modelingGenerative AI (GenAI)Large Language Models (LLM)Vector databaseAI AgentsAgentic AI

इस job के बारे में

Job Title: Data / AI / GenAI – Engineering & Analytics
Experience: 4+ Years
Location: Noida / Gurugram / Ahmedabad
Employment Type: Full-time | On-site at client location
Working Days: 5 days per week
Working Hours: Standard business hours

Position Overview : We are seeking professionals to deliver modern data engineering, business intelligence, cloud analytics and AI-powered applications, according to their specialization.

Mandatory Skills

Python, SQL, ETL/ELT, Data Engineering, Power BI, Azure Data Factory, Databricks, PySpark, Data Modeling, GenAI/LLMs, RAG, Vector Databases, AI Agents (as per role specialization).

Key Roles / Specializations

Power BI Developers: Dashboards, DAX, Power Query, reporting and data modeling
Azure Data Engineers: Azure Data Factory, Data Lake, Azure SQL and cloud pipelines
Databricks Engineers: Apache Spark, PySpark, Delta Lake and scalable processing
Data Engineers: ETL/ELT, SQL, Python, data warehousing and quality
GenAI / RAG Engineers: LLMs, prompts, embeddings, vector databases and retrieval pipelines
Agentic AI Engineers: AI agents, tool calling, orchestration and multi-agent workflows

Key Responsibilities

Design, develop and maintain data pipelines, analytics solutions or AI applications.

Build and optimize data integration, transformation and processing workflows.

Develop dashboards and analytical models for business decision-making.

Use cloud data platforms and modern engineering frameworks.

Develop and evaluate LLM applications, RAG solutions or AI agents as applicable.

Ensure data quality, security, performance and reliability.

Collaborate with engineering teams and stakeholders on testing, deployment and documentation.

Required Skills & Qualifications

Bachelor’s degree in Computer Science, IT, Data Science, Engineering or related discipline.

4–5 years of relevant experience in data, analytics, AI or software engineering.

Hands-on expertise in at least one listed specialization; not all technologies are required.

Relevant Python, SQL, DAX or other technical skills depending on the position.

Understanding of cloud platforms, APIs, integration and software practices.

Preferred Qualifications

Azure, Databricks or Microsoft Fabric experience.

For GenAI roles: Azure OpenAI, OpenAI APIs, LangChain, LlamaIndex or LangGraph.
For relevant roles: vector databases, CI/CD, Docker, MLOps or LLMOps.

Note: Candidates are expected to have expertise in their relevant specialization, not in every listed technology or role.

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