| GCP Data Engineer with AI/ML Integration & MLOps, Irving, TX 75039 (Onsite) at Irving, Texas, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3320739&uid=190105d6130643388f5014182fa86af2 Please do not share profiles that are not relevant to the requirement. We are strictly looking for candidates with the required experience and certifications. Kindly provide the following details along with the Photo Id/Valid Visa copies: Current Location: Work Authorisation: Consultant's Email & Phone Number: LinkedIn Profile URL: Date of Birth (YYYY): Role: GCP Data Engineer with AI/ML Integration & MLOps Location: Irving, TX 75039 (Onsite) Experience: 10+ Years Job Type: Contract/W2 Duration: Long Term Interview Mode: L1 Virtual | In-person client interview Rate on C2C: $70/Hr Must have: Dataplex exp 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. Required Qualifications 7+ years of dedicated Data Engineering experience, with at least 3+ years focused exclusively on the Google Cloud Platform (GCP). Expert-level knowledge of BigQuery architecture, advanced SQL, analytical functions, query profiling, and optimization techniques. Proven experience utilizing BigLake for multi-cloud or lakehouse architectures, managing open-source formats (e.g., Apache Iceberg/Parquet), and enforcing unified security policies. Deep understanding of GCS storage classes, object lifecycle management, and optimizing GCS for big data workloads. Hands-on experience with Vertex AI pipelines, endpoints, feature stores, or deploying ML models into scalable data environments. Advanced proficiency in Python and SQL. Familiarity with Java, Scala, or Go is a plus. Experience with orchestration tools (e.g., Apache Airflow, Cloud Composer) and modern CI/CD pipelines (e.g., GitHub Actions, Terraform, Cloud Build). GCP Certifications: Google Cloud Certified - Professional Data Engineer or Professional Machine Learning Engineer. 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. Looking forward to qualified submissions only. Thanks & Regards Nikhila Gujjarlamudi Ph: +1 615-857-(6282) | Email: [email protected] LinkedIn: linkedin.com/in/nikhilagujjarlamudi Website: https://tror.ai Address: 401 Ronan Way, Spring Hill, 37174 Keywords: continuous integration continuous deployment artificial intelligence machine learning golang wtwo trade national Idaho Tennessee Texas GCP Data Engineer with AI/ML Integration & MLOps, Irving, TX 75039 (Onsite) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3320739&uid=190105d6130643388f5014182fa86af2 |
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| 09:04 PM 23-Apr-26 |