Senior Data Engineer
Airtel · Delhi
- Experience2–4 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelmid
- Posted2 Sept 2026
About Airtel
Airtel is hiring in Delhi in telecom. This role looks for around 2+ years of experience.
Skills
- Google Cloud Platform
- BigQuery
- SQL
- Dataform
- dbt
- Cloud Composer
- Apache Airflow
- Dataflow
- Apache Beam
- Dataproc
- Apache Spark
- data modelling
- schema design
- data contracts
- Apache Iceberg
- data quality
- data lineage
- observability
- CI/CD
The role
A data engineer at a telecommunications company designs scalable data-processing solutions and builds streaming data pipelines with BigQuery and Apache Beam, while applying data modelling and Apache Airflow orchestration.
Full job description
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.