GCP BigQuery
Infosys
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
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