PRINCIPAL DUTIES

A solid experience and understanding of considerations for largescale solutioning and operationalization of data warehouses data lakes and analytics platforms on GCP is a must

works on creating a framework for ML and LLM Ops

works on processes and flow of AI Compliance Governance framework

Monitors the Data Lake constantly and ensures that the appropriate support teams are engaged at the right times

Create reports to monitor usage data for billing and SLA tracking

Work with business and crossfunctional teams to gather and document requirements to meet business needs

Provide support as required to ensure the availability and performance of ETLELT jobs

Provide technical assistance and cross training to business and internal team members

Collaborate with business partners for continuous improvement opportunities

Requirements

Experience Skills Qualifications

6 years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics

Very strong hands on Python expertise

Strong Data and GCP Vertex AI knowledge

6 years of experience with one of the leading public clouds

6 years of experience in design and build of salable data pipelines that deal with extraction transformation and loading

6 years of experience with Python Scala with working knowledge on Notebooks

6 years hands on experience on GCP Cloud data implementation projects Dataflow DataProc Cloud Composer Big Query Cloud Storage GKE Airflow etc

At least 5 years of experience in Data governance and Metadata Management

Ability to work independently solve problems update the stake holders

Analyze design develop and deploy solutions as per business requirements

Strong understanding of relational and dimensional data modeling

Experience in DevOps and CICD related technologies

Excellent written verbal communication skills including experience in technical documentation and ability to communicate with senior business managers and executives

Thanks and Regards

Syed Salim | Technical Recruiter

Ph: (520)495-0084 Email: [email protected]

Inherent Technologies, Together, we can.... SM

www.inherenttechnologies.com