Data Engineer

Bharti Airtel • Mobile Networks • Broadband • Python • SQL • 1 month ago

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Salary

≈ $18k – $48k per year (Estimated)

Location

In office (Gurgaon)

First seen by Alion on Sep 1, 2026.

Overview

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Bharti Airtel

Bharti Airtel is a global telecommunications services provider that offers mobile network coverage, high-speed fiber broadband, and digital television solutions. Headquartered in New Delhi, India, the enterprise operates across numerous countries in South Asia and Africa, serving hundreds of millions of customers. Its extensive portfolio also includes ICT enterprise services, cloud infrastructure, submarine cable networks, and digital financial solutions.

airtel.in • HQ: New Delhi, India • Mobile Networks • Broadband • Est. 1995

Tech stack of Bharti Airtel

Responsibilities:

Own the technical design and architecture of scalable data-processing and transformation solutions on GCP.
Design and build production-grade batch, incremental and streaming data pipelines.
Develop and optimise complex transformations using BigQuery, SQL and Dataform / dbt.
Build reusable, metadata-driven and configuration-driven frameworks that reduce bespoke pipeline development.
Design orchestration patterns using Cloud Composer / Apache Airflow, including dynamic workflows, dependencies, retries and recovery.
Develop distributed and streaming processing solutions using Dataflow / Apache Beam and Dataproc / Spark.
Define standards for data modelling, schema design, schema evolution and data contracts.
Design and evolve modern analytical storage patterns, including Apache Iceberg.
Establish engineering patterns for data quality, reconciliation, metadata, lineage and observability.
Optimise large-scale workloads for performance, scalability, latency and GCP cost.
Define reusable engineering standards for testing, versioning, CI/CD and production readiness.
Lead technical design and code reviews and guide engineers on complex implementation decisions.
Identify systemic technical debt and drive improvements to shared platform capabilities.
Work closely with Data Engineering, Platform Engineering, DevOps, Architecture, Governance and Product teams.
Take technical ownership from solution design through production deployment and operational stability.

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