Bachelor of Engineering,BTech,BCA,BSc,MTech,MSc,MCA
Service Line
Data Analytics Unit
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 productive 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
Technical and Professional Requirements:
Tech-GCP, Big Query
Preferred Skills:
- Foundational->Development process generic->Big Data Analytics Process->Big Data
- Technology->Cloud Platform->GCP Core Services
📌 GCP BigQuery Professional (Karnataka)
🏢 Infosys
📍 Karnataka
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