Description

You will own the design, development, and operationalization of large-scale data solutions on GCP.

This role is on-site.

Responsibilities

• Design and implement frameworks for ML and LLM Operations.
• Monitor the Data Lake and coordinate with support teams to resolve issues.
• Create usage data reports for billing and SLA tracking.
• Gather and document technical requirements from business and cross-functional teams.
• Provide technical assistance to ensure ETL/ELT job availability and performance.

Required Skills

• 6+ years in Data Engineering focusing on Data Warehousing and Analytics.
• Strong, hands-on expertise in Python.
• 6+ years designing and building scalable ETL/ELT data pipelines.
• 6+ years of experience implementing GCP Cloud data projects (Dataflow, BigQuery, Cloud Storage).
• Strong knowledge of GCP Vertex AI and Data governance/Metadata Management (5+ years).
• Experience with CI/CD related technologies and DevOps practices.
• Strong understanding of relational and dimensional data modeling.
• 6+ years using Python and Scala, including Notebooks.

Preferred Skills

• Ability to analyze problems independently and document technical designs.

Key Skills

Education

Any Graduate