Description

You will design, build, and maintain scalable data pipelines using Google Cloud Platform tools.

Responsibilities

• Transform data using business logic into a consumable format for analysis and visualization.
• Write high-performance, production-grade Python and SQL, optimizing ETL processes.
• Implement complex data models in BigQuery using partitioning, clustering, and materialized views.
• Collaborate with stakeholders to gather data requirements and deliver effective solutions.
• Monitor, troubleshoot data pipeline issues, and contribute to data architecture decisions.

Required Skills

• 8+ years of hands-on experience in data management and consolidation.
• Expertise in Google Big Query and Google Cloud Storage.
• Proficiency in Python and SQL for data processing and automation.
• Experience designing and implementing ETL processes.
• Familiarity with Dataflow, Cloud Composer, and Pub/Sub.
• Experience designing and maintaining data pipelines on GCP.

Key Skills

Education

Any Gradute