Data Engineer

We are looking for a highly skilled Data Engineer (Cloud, AI & Analytics) with strong handson 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 productiongrade AI systemsincluding LLMs and generative AIto drive business insight and automation.

Key Responsibilities

Architect, design, and maintainscalable, resilient data pipelines andenterprise data models to support analytics, AI, and business intelligence use cases.

Design, build, and optimizeETL/ELT frameworks usingAzure Data Factory (ADF) and cloud-native data integration patterns.

Develop and manage cloud data platforms usingSnowflake for 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 prototyping to 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 applications that deliver actionable insights and support strategic decision-making.

ImplementCI/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.

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 inPython for data engineering, analytics, and machine learning development.

Hands-on experience withSnowflake for 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 pipelines for 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 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