Data Engineer with AI/GenAI | Telecom Domain -10000005134
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Job Description
Structured overview of role & requirementsAbout This Role
Lead data engineering projects with a focus on telecom domain network KPI and telemetry data.
Develop and manage real-time streaming data pipelines and AI integrations using frameworks like Agentic AI (Semantic Kernel, LangChain, AutoGen, CrewAI).
Automate KPI dashboards and deploy serverless solutions using tools such as Azure Functions and Databricks technologies (PySpark, Spark SQL).
Minimum Requirements
6 to 10 years of relevant experience with at least 70% in Data Engineering and 30% in AI within Telecom domain.
Proficient with Databricks (PySpark, Spark SQL, Structured Streaming), Python, Snowflake, Kafka, Azure Functions, ADF/Airflow/dbt, and DevOps tooling (Git, CI/CD, Azure DevOps/GitHub Actions).
Experience with Agentic AI frameworks including Semantic Kernel, LangChain, AutoGen, or CrewAI is mandatory.
Immediate to 15 days notice period required; job location onsite Pan India at cities including Bangalore, Chennai, Hyderabad, Noida, Gurgaon, Kochi, Trivandrum, Pune.
Ideal Candidate Profile
Strong expertise in telecom data engineering with practical experience handling network KPIs and telemetry datasets.
Demonstrated skills integrating AI frameworks with data engineering workflows in a production environment.
Comfortable working onsite across multiple Indian locations and delivering solutions using a broad tech stack combining cloud, streaming, and DevOps tooling.