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

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

Education

Bachelor of Engineering