Roles and 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
- - 35 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

📌 GCP Big Query(2-5yrs)-PAN India (Telangana)
🏢 Infosys
📍 Telangana