Key Responsibilities:

- 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
- Robust 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

Technical Requirements:

- Tech GCP Big Query

Preferred Skills:

Technology->Cloud Platform->GCP Core Services,Foundational->Development process generic->Big Data Analytics Process->Big Data

📌 GCP BigQuery (India)
🏢 Infosys
📍 India