Job ID: JOB_ID_4428
Job Title: Software Engineer (Fircosoft)
We are looking for a skilled Software Engineer with extensive experience in Fircosoft and a strong background in Google Cloud Platform (GCP) data engineering. This role involves designing, building, and optimizing data lakehouse architectures and pipelines to support 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 BigQuery. Perform deep performance tuning and cost optimization of BigQuery 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 BigQuery 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.
Locations:
Tampa, FL; Columbus, OH; New York; New Jersey; Plano, TX; Wilmington, DE; Chicago, IL
Employment Type:
C2C Contract
This role requires 5 days onsite at any of the listed locations. The ideal candidate will have a strong understanding of Fircosoft and a proven ability to design and implement robust data solutions on GCP.
Special Requirements
5 Days onsite at any of the listed locations. C2C
Compensation & Location
Salary: $70,000 – $120,000 per year (Estimated)
Location: Columbus, OH
Recruiter / Company – Contact Information
Email: avysystems@gmail.com
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