Submitting more applications increases your chances of landing a job.
Here’s how busy the average job seeker was last month:
Opportunities viewed
Applications submitted
Keep exploring and applying to maximize your chances!
Looking for employers with a proven track record of hiring women?
Click here to explore opportunities now!You are invited to participate in a survey designed to help researchers understand how best to match workers to the types of jobs they are searching for
Would You Be Likely to Participate?
If selected, we will contact you via email with further instructions and details about your participation.
You will receive a $7 payout for answering the survey.
Data Warehousing & BigQuery Development
Design and implement data warehouse solutions using Google BigQuery
Develop, optimize, and maintain complex SQL queries and data models
Create efficient partitioning, clustering, and indexing strategies
Data Pipeline Development
Build scalable data pipelines using GCP services (Dataflow, Dataproc, Cloud Composer)
Perform data ingestion from various sources (APIs, databases, cloud storage)
Ensure data transformation, cleansing, and validation
Performance Optimization
Optimize BigQuery queries for cost and performance
Monitor query execution and tune workloads
Implement best practices for storage and compute efficiency
Integration & ETL/ELT
Implement ETL/ELT workflows using BigQuery, Cloud Storage, Pub/Sub
Integrate data from multiple cloud and on-prem systems
Automate workflows and scheduling
Collaboration & Reporting
Work closely with data analysts, data scientists, and business teams
Support reporting tools like Looker, Data Studio (Looker Studio), Tableau
Translate business requirements into scalable data solutions
Required Skills & Qualifications
Core Technical Skills
3-5 years of experience in data engineering / BigQuery development
Strong expertise in SQL (mandatory)
Hands-on experience with Google BigQuery
Experience with data modeling (star/snowflake schemas)
GCP Tools & Services
BigQuery
Cloud Storage
Dataflow / Dataproc
Pub/Sub
Cloud Composer (Airflow)
Programming Skills
Proficiency in Python / SQL scripting
Experience with Spark (PySpark) is a plus
Experience with real-time data streaming
Knowledge of data governance, security, and IAM in GCP
Familiarity with CI/CD pipelines and DevOps practices
Certification in Google Cloud (e.g., Data Engineer Associate/Professional)
* Primary skills:Technology->Cloud Platform->GCP, BIG QUERY
You'll no longer be considered for this role and your application will be removed from the employer's inbox.