GCP Bigquery

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

Requirements

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

Additional:

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