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GCP Bigquery

Date Posted: Sep 19, 2026

Job Detail

  • location_on
    Location Bengaluru, Karnataka, India
  • desktop_windows
    Job Type: Full Time/Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Nov 14, 2026

Job Description

Join a team that turns cloud data into clear, reliable insights. In this role, you’ll help design and operate modern analytics solutions on Google Cloud, with a strong focus on BigQuery and scalable data processing. You’ll 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 delivery—from ingestion to curated datasets—this is a great opportunity to grow your impact while working in a supportive, high-collaboration environment.

Responsibilities

Key Responsibilities:

BigQuery Development & Optimization

  • 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 requirements

Technology->GCP Big query-Big Data->Big Data - ALL,Technology->Cloud Security->GCP - GRC

Additional responsibilities

Minimum Qualifications:

  • Bachelor’s/Master’s degree (or equivalent) in Engineering, Computer Science, MCA, MSc, or related field
  • 2–3 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 with BigQuery cost governance, workload management, and performance tuning at scale
  • Experience implementing data quality frameworks, auditing, and reconciliation for pipelines
  • 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

Preferred skills

  • Technology › Cloud Security › GCP - GRC
  • Technology › Big Data › Big Data - ALL

About the role

  • Role: Senior Systems Engineer
  • Experience: 2 - 3 years
  • Education: Bachelor of Engineering

Source: Infosys careers — Read the original posting and apply

This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.

Company Overview

Infosys
Infosys · Bengaluru, Karnataka, India
1,811 open roles

Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More

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