Data Engineer (Chennai)

Data Engineer (Chennai)

We are looking for a highly skilled Data Engineer (Cloud, AI & Analytics) with strong hands‑on experience across cloud data engineering, advanced analytics, and artificial intelligence. This role requires deep technical expertise in architecting scalable data pipelines, building enterprise data models, and designing production‑grade AI systems—including LLMs and generative AI—to drive business insight and automation.
Key Responsibilities

• Architect, design, and maintain scalable, resilient data pipelines and enterprise data models to support analytics, AI, and business intelligence use cases.
• Design, build, and optimize ETL/ELT frameworks using Azure Data Factory (ADF) and cloud-native data integration patterns.
• Develop and manage cloud data platforms using Snowflake for high-performance, cost-efficient analytics workloads.
• Design and implement advanced AI and machine learning systems , including deep learning, NLP, large language models (LLMs) , and generative AI solutions.
• Lead AI research, experimentation, and prototyping to solve complex business problems and identify automation opportunities.
• Build and operationalize end-to-end ML pipelines , from data preparation and feature engineering to deployment and monitoring.
• Develop executive dashboards and analytical applications that deliver actionable insights and support strategic decision-making.
• Implement CI/CD pipelines to automate data and AI workflows, ensuring reliability, reproducibility, and faster releases.
• Collaborate with engineering, analytics, product, and business teams to ensure seamless system integration and alignment with business objectives.
• Establish data engineering, analytics,



and AI best practices , including governance, quality, security, and observability.
• Stay current with emerging data, AI, and LLM technologies to drive continuous innovation.

Required Skills
• Strong proficiency in Python for data engineering, analytics, and machine learning development.
• Hands-on experience with Snowflake for cloud data warehousing and analytics.
• Experience designing and implementing data pipelines using Azure Data Factory (ADF) or equivalent ETL/ELT tools.
• Solid experience with AI/ML techniques , including deep learning, NLP, and LLMs / generative AI .
• Experience building analytical models, experiments, and AI-driven solutions for real-world business problems.
• Strong understanding of enterprise data modeling , data quality, and scalable pipeline design.
• Experience implementing CI/CD pipelines for data and ML workflows using modern DevOps practices.
• Experience building dashboards and analytical applications using contemporary BI or visualization tools(Tableau/Power BI).
• Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable).
• Robust communication skills to translate complex technical concepts into business insights

Preferred / Nice-to-Have Skills
• Experience with MLOps practices, model deployment, monitoring, and observability.
Experience with telecom network data (5G, LTE, VoLTE, SMS, data usage, roaming).
• Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) patterns.
• Experience integrating LLMs with enterprise data and applications.
• Experience working in Agile teams and large-scale enterprise environments.

Should have background in Telecom industry

📌 Data Engineer (Chennai)
🏢 Giggso
📍 Chennai