GCP Bigquery

Infosys; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Infosys in Bengaluru is seeking a seasoned cloud analytics engineer to design and operate modern analytics solutions on Google Cloud, focusing on BigQuery and scalable data processing.

You will collaborate with data engineers, analysts, and platform teams to build efficient pipelines, optimize performance, ensure data security, governance, and readiness for decision-making. This role offers ownership of end-to-end delivery from ingestion to curated datasets.

Qualifications

• Bachelors/Masters degree (or equivalent) in Engineering, Computer Science, MCA, MSc, or related field
• 23 years of hands‑on experience working with GCP BigQuery in production environments
• Strong SQL skills with experience building transformations and optimizing analytical queries
• Experience with ETL/ELT concepts and implementing data pipelines
• Working knowledge of GCS and data processing using Dataproc

Responsibilities

• Build and maintain BigQuery datasets, tables, views, and SQL transformations aligned to analytics needs
• Optimize query performance and cost using partitioning, clustering, materialized views, and best-practice SQL patterns
• Implement data quality checks and validation to ensure accuracy, completeness, and consistency
• Develop and support ETL/ELT pipelines integrating data from multiple sources into BigQuery
• Use Dataproc to process batch workloads and transform large datasets efficiently
• Manage data ingestion and storage workflows using Google Cloud Storage (GCS)
• Monitor pipeline health, troubleshoot failures, and perform root-cause analysis to prevent recurrence
• Collaborate with stakeholders to translate requirements into scalable technical solutions and deliverables
• Document datasets, pipeline logic, and operational runbooks for maintainability and knowledge sharing

Skills

Strong SQL

Data pipelines

Analytical thinking

Cross-functional collaboration

Education

Bachelor of Engineering

Master's degree in Engineering/Computer Science/MCA/MSc

Tools

GCP BigQuery

Dataproc

GCS

Looker Studio

Terraform

Job description

Job DescriptionJoin a team that turns cloud data into clear, reliable insights. In this role, youll help design and operate modern analytics solutions on Google Cloud, with a strong focus on BigQuery and scalable data processing. Youll collaborate closely with data engineers, analysts, and platform teams to build efficient pipelines, optimize performance, and ensure data is secure, well-governed, and ready for decision-making. If you enjoy solving real-world data challenges, improving systems through automation, and taking ownership of end-to-end deliveryfrom ingestion to curated datasetsthis is a great opportunity to grow your impact while working in a supportive, high-collaboration environment.

Roles ResponsibilitiesKey Responsibilities:

• Build and maintain BigQuery datasets, tables, views, and SQL transformations aligned to analytics needs
  
• Optimize query performance and cost using partitioning, clustering, materialized views, and best-practice SQL patterns
  
• Implement data quality checks and validation to ensure accuracy, completeness, and consistency
  Data Pipelines Processing
  
• Develop and support ETL/ELT pipelines integrating data from multiple sources into BigQuery
  
• Use Dataproc to process batch workloads and transform large datasets efficiently
  
• Manage data ingestion and storage workflows using Google Cloud Storage (GCS) Operations, Reliability Collaboration
  
• Monitor pipeline health, troubleshoot failures, and perform root-cause analysis to prevent recurrence
  
• Collaborate with stakeholders to translate requirements into scalable technical solutions and deliverables
  
• Document datasets, pipeline logic, and operational runbooks for maintainability and knowledge sharing
  Technical RequirementTechnology->GCP Big query-Big Data->Big Data - ALL,Technology->Cloud Security->GCP - GRC
  Additional ResponsibilityMinimum Qualifications:
  
• Bachelors/Masters degree (or equivalent) in Engineering, Computer Science, MCA, MSc, or related field
  
• 23 years of hands‑on experience working with GCP BigQuery in production environments
  
• Strong SQL skills with experience building transformations and optimizing analytical queries
  
• Experience with ETL/ELT concepts and implementing data pipelines
  
• Working knowledge of GCS and data processing using Dataproc
  Preferred Qualifications:
  
• Experience designing end-to-end analytics architectures on GCP, from ingestion to curated layers
  
• Familiarity …
• Exposure to IAM-based access controls and secure handling of sensitive data in cloud environments
  
• Proven ability to work cross-functionally, manage priorities, and deliver reliable outcomes in fast-paced teams
  Good to have skills:
  Cloud Composer (Airflow), Dataflow, Pub/Sub, Looker/Looker Studio, Terraform
  Educational RequirementBachelor of Engineering
  Preferred SkillsTechnology->Cloud Security->GCP - GRC,Technology->Big Data->Big Data - ALL
  Service LineData Analytics Unit