Infosys

GCP BigQuery Developer

About this role

This role is in Infosys's Data & Analytics unit in Pune and centres on data engineering on Google Cloud. The developer builds and tunes BigQuery data warehouses and data marts, and creates ETL/ELT pipelines using GCP services. Day to day it involves writing complex SQL, modelling data, orchestrating pipelines and keeping query costs under control. The developer also adds data quality checks and works with analysts, data scientists and business stakeholders. It suits engineering or computer applications graduates with 1 to 3 years of experience.

Infosys is hiring for GCP BigQuery Developer, a full-time role based in Pune.

Who can apply: 1–3 years. Skills: BigQuery, SQL, GCP, Cloud Composer, Dataflow, Python, ETL.

Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.

What you'll do

  • Design, develop and optimise BigQuery data warehouses and data marts
  • Build and maintain ETL/ELT pipelines using GCP services
  • Write complex SQL for data transformation and analysis
  • Orchestrate pipelines with Cloud Composer (Airflow), Dataflow or Dataproc
  • Perform data modelling and optimise query performance and cost
  • Implement data validation, quality checks and monitoring, and follow GCP security and governance practices

What you need

  • 1 to 3 years of experience
  • Degree in MCA, M.Tech, B.E or B.Tech (computer science, IT or related field)
  • Strong experience with Google BigQuery and advanced SQL
  • Hands-on experience with GCP services such as Cloud Storage, Dataflow/Dataproc and Cloud Composer
  • Experience in ETL/ELT development and data warehousing concepts
  • Familiarity with Python or PySpark and BigQuery partitioning and clustering
Location
Pune
Work mode
See listing
Experience
1–3 years
Pay
₹6–10 LPA (Est.)
Type
Full-time job, Developer
Added
7 October 2026

Skills

  • BigQuery
  • SQL
  • GCP
  • Cloud Composer
  • Dataflow
  • Python
  • ETL

"Est." = Hirastra's estimate based on market data, not an official figure.

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