GCP Data Engineer with AIML Integration & MLOps

Irving, TX - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Role : GCP Data Engineer with AI/ML Integration & MLOps

Location : Irving Texas 75039 (100% onsite)

Hire type : Contract

Interview Mode : 1 Video interview and client interview will be In person

Overview

We are seeking a GCP Data Engineer with deep hands-on architectural and development

experience in Google Cloud Platforms big data ecosystem. You will be responsible for

designing building and optimizing a modern data lakehouse architecture. Your primary focus

will be leveraging BigLake BigQuery Google Cloud Storage (GCS) and Vertex AI to create

seamless scalable data pipelines and machine learning integrations that drive business

intelligence and predictive analytics.

Key Responsibilities

Lakehouse Architecture & Development:
Architect and maintain a scalable data lakehouse using Google Cloud Storage
(GCS) as the foundational data lake and BigLake to unify data warehouses and data lakes.
Implement fine-grained security (row-level and column-level access controls) and
data governance across open file formats (Parquet Iceberg ORC) using BigLake.
Data Warehousing & Optimization:
Design and manage complex highly scalable data models within Big Query.
Perform deep performance tuning and cost optimization of Big Query jobs utilizing
clustering partitioning materialized views and slot capacity management.

AI/ML Integration & MLOps:

Collaborate with Data Scientists to operationalize machine learning models using
Vertex AI.
Build robust data pipelines to feed Vertex AI Feature Store manage model
training workflows and deploy ML models into production.
Utilize Big Query ML (BQML) for in-database predictive modeling and analytics
where appropriate.

Data Pipeline Engineering:

Design develop and orchestrate batch and streaming data pipelines (using tools
like Dataflow Dataproc or Cloud Composer/Airflow) to ingest data from diverse
sources into GCS and BigQuery.
Data Governance & Best Practices:
Establish data lifecycle management policies in GCS.
Ensure data quality reliability and security compliance across the entire GCP big
data stack.
Mentor junior engineers and lead code/architecture reviews.

Required Qualifications

Experience: 5 years of dedicated Data Engineering experience with at least 3 years
focused exclusively on the Google Cloud Platform (GCP).

Deep GCP Big Data Expertise:

BigQuery: Expert-level knowledge of BigQuery architecture advanced SQL
analytical functions query profiling and optimization techniques.
BigLake: Proven experience utilizing BigLake for multi-cloud or lakehouse
architectures managing open-source formats (e.g. Apache Iceberg/Parquet)
and enforcing unified security policies.
GCS: Deep understanding of GCS storage classes object lifecycle management
and optimizing GCS for big data workloads.
Vertex AI: Hands-on experience with Vertex AI pipelines endpoints feature
stores or deploying ML models into scalable data environments.
Programming Skills: Advanced proficiency in Python and SQL. Familiarity with Java
Scala or Go is a plus.
Data Orchestration & CI/CD: Experience with orchestration tools (e.g. Apache Airflow
Cloud Composer) and modern CI/CD pipelines (e.g. GitHub Actions Terraform Cloud
Build).

Preferred/Bonus Qualifications

GCP Certifications: Google Cloud Certified - Professional Data Engineer or
Professional Machine Learning Engineer.

Role : GCP Data Engineer with AI/ML Integration & MLOps Location : Irving Texas 75039 (100% onsite) Hire type : Contract Interview Mode : 1 Video interview and client interview will be In person Overview We are seeking a GCP Data Engineer with deep hands-on architectural and development experie...