Description

You will design, build, and operationalize large-scale data warehouses, lakes, and analytics platforms on Google Cloud Platform.

This role is on-site.

Responsibilities

• Build frameworks for ML and LLM Ops and implement AI Compliance Governance processes.
• Design and maintain scalable ETL/ELT data pipelines using GCP services.
• Monitor the Data Lake and coordinate with support teams to ensure ETL/ELT job availability and performance.
• Create usage reports for billing optimization and SLA tracking.
• Collaborate with cross-functional teams to gather requirements and deploy solutions, providing technical assistance and cross-training to internal members.

Required Skills

• 6+ years of experience in Data Engineering, Data Warehousing, and Data Analytics.
• 6+ years of hands-on experience with GCP Cloud data implementations, including Dataflow, Dataproc, Cloud Composer, BigQuery, Cloud Storage, and GKE.
• 6+ years of experience designing and building scalable ETL/ELT data pipelines.
• 6+ years of programming experience with Python and Scala, including working knowledge of Notebooks.
• Strong hands-on expertise in Python and GCP Vertex AI.
• 5+ years of experience in Data Governance and Metadata Management.
• Strong understanding of relational and dimensional data modeling.
• Experience with DevOps and CI/CD technologies.

Preferred Skills

• Experience with Airflow.

Key Skills

Education

Any Gradute