Job Title

We are looking for a highly skilledData 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 maintainscalable, resilient data pipelinesandenterprise data modelsto support analytics, AI, and business intelligence use cases. • Design, build, and optimizeETL/ELT frameworksusingAzure Data Factory (ADF)and cloud-native data integration patterns. • Develop and manage cloud data platforms usingSnowflakefor high-performance, cost-efficient analytics workloads. • Design and implementadvanced AI and machine learning systems , including deep learning, NLP,large language models (LLMs) , and generative AI solutions. • LeadAI research, experimentation, and prototypingto solve complex business problems and identify automation opportunities. • Build and operationalizeend-to-end ML pipelines , from data preparation and feature engineering to deployment and monitoring. • Developexecutive dashboards and analytical applicationsthat deliver actionable insights and support strategic decision-making. • ImplementCI/CD pipelinesto 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. • Establishdata 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 inPythonfor data engineering, analytics, and machine learning development. • Hands-on experience withSnowflakefor cloud data warehousing and analytics. • Experience designing and implementing data pipelines usingAzure Data Factory (ADF)or equivalent ETL/ELT tools. • Solid experience withAI/ML techniques , including deep learning, NLP, andLLMs / generative AI . • Experience building analytical models, experiments, and AI-driven solutions for real-world business problems. • Strong understanding ofenterprise data modeling , data quality, and scalable pipeline design. • Experience implementingCI/CD pipelinesfor data and ML workflows using modern DevOps practices. • Experience building dashboards and analytical applications using modern BI or visualization tools(Tableau/Power BI). • Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable). • Strong communication skills to translate complex technical concepts into business insightsPreferred / 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