GCP BigQuery Developer

Infosys; Hyderabad; On-site; INR 700,000 - 1,400,000; Full time

Job summary

Infosys is seeking a GCP BigQuery Developer with 2-3 years of experience to design scalable data solutions on Google Cloud Platform. Strong BigQuery, SQL, and data pipeline development are essential to support analytics initiatives.

Responsibilities include building data warehouses, ETL/ELT pipelines with GCP services, tuning queries, and ensuring security and governance while collaborating with analysts and business stakeholders.

Qualifications

• 2–3 years of experience building scalable data solutions on Google Cloud Platform (GCP).
• Strong expertise in BigQuery, SQL, and data pipeline development.
• Exposure to modern data engineering tools and cloud-based architectures.

Responsibilities

• Design, develop, and optimize BigQuery-based data warehouses and data marts.
• Build and maintain ETL/ELT pipelines using GCP services.
• Write efficient, complex SQL queries for data transformation and analysis.
• Work with Cloud Composer (Airflow), Dataflow, or Dataproc for pipeline orchestration.
• Perform data modelling (star/snowflake schema) for analytics use cases.
• Optimize query performance and manage BigQuery cost efficiency.
• Integrate data from various sources (APIs, Cloud Storage, databases, streaming sources).
• Implement data validation, quality checks, and monitoring mechanisms.
• Collaborate with data analysts, data scientists, and business stakeholders.
• Ensure security and governance best practices within GCP.

Skills

BigQuery

SQL

ETL/ELT pipelines

Python or PySpark

Data modeling

Performance tuning

Data governance

Cloud Dataflow/Dataproc

Cloud Composer (Airflow)

Cloud Storage

Looker/Tableau/Power BI

Pub/Sub

Terraform

Education

Master of Computer Applications

Master of Technology

Bachelor of Engineering

Bachelor of Technology

Tools

Cloud Composer (Airflow)

Dataflow

Dataproc

Looker

Tableau

Power BI

Pub/Sub

Terraform

Cloud Build/Jenkins/GitHub Actions

Job description

Job Summary

We are seeking a skilled GCP BigQuery Developer with 2-3 years of experience in building scalable data solutions on Google Cloud Platform (GCP). The ideal candidate should have strong expertise in BigQuery, SQL, and data pipeline development, with exposure to modern data engineering tools and cloud-based architectures.

Responsibilities

• Design, develop, and optimize BigQuery-based data warehouses and data marts
• Build and maintain ETL/ELT pipelines using GCP services
• Write efficient, complex SQL queries for data transformation and analysis
• Work with Cloud Composer (Airflow), Dataflow, or Dataproc for pipeline orchestration
• Perform data modelling (star/snowflake schema) for analytics use cases
• Optimize query performance and manage BigQuery cost efficiency
• Integrate data from various sources (APIs, Cloud Storage, databases, streaming sources)
• Implement data validation, quality checks, and monitoring mechanisms
• Collaborate with data analysts, data scientists, and business stakeholders
• Ensure security and governance best practices within GCP

Technical Requirements

• Strong experience with Google BigQuery
• Advanced proficiency in SQL
• BigQuery
• Cloud Storage
• Dataflow / Dataproc
• Cloud Composer (Airflow)
• Experience in ETL/ELT pipeline development
• Good understanding of data warehousing concepts
• Familiarity with Python or PySpark for data processing
• Experience in performance tuning and query optimization
• Knowledge of data partitioning and clustering in BigQuery

Additional Responsibilities

• Experience with CI/CD tools (Cloud Build, Jenkins, GitHub Actions)
• Knowledge of data visualization tools (Looker, Tableau, Power BI)
• Familiarity with streaming data pipelines (Pub/Sub)
• Experience with Infrastructure as Code (Terraform)
• Understanding of data governance and access control in GCP

Educational Requirement

• Master of Computer Applications
• Master of Technology
• Bachelor of Engineering
• Bachelor of Technology

Preferred Skills

• Technology->Cloud Platform->GCP Database

Service Line

Data Analytics Unit