Role & Responsibilities

Design, develop, and maintain data warehouses using Google BigQuery.

- Build and optimize ETL/ELT pipelines for large-scale data processing.
- Develop and maintain data models, schemas, and partitioning strategies.
- Write and optimize complex SQL queries for analysis and reporting.
- Integrate data from multiple sources using GCP services such as Dataflow, Cloud Storage, Pub/Sub, and Dataproc.
- Monitor data quality, performance, and security standards.
- Implement data governance and compliance best practices.
- Collaborate with data analysts, business stakeholders, and application teams to understand data requirements.
- Troubleshoot and resolve performance bottlenecks in BigQuery workloads.
- Support reporting and visualization tools such as Looker, Tableau, or Power BI.

Required Skills

Technical Skills

- Solid experience with Google BigQuery.
- Advanced SQL programming and query optimization.




- Experience with Google Cloud Platform (GCP) services.
- Knowledge of data warehousing concepts and dimensional modeling.
- Hands-on experience with ETL/ELT tools and frameworks.
- Proficiency in Python, Scala, or Java for data engineering tasks.
- Experience with data orchestration tools such as Airflow or Cloud Composer.
- Understanding of data security, IAM, and access controls in GCP.
- Knowledge of Git and CI/CD practices.

Preferred Skills

- Experience with Dataflow, Dataproc, Pub/Sub, Cloud Functions, and Cloud Storage.
- Experience with Looker, Tableau, or Power BI.
- Familiarity with Spark and distributed data processing.
- Knowledge of DevOps and Infrastructure as Code (Terraform).

📌 Bigquery (6-12yrs)-@infosys (Noida)
🏢 Infosys
📍 Noida