Data Engineer (GCP)

TL;DR

Data Engineer (GCP): Designing and developing an enterprise IAM Data Lake platform on Google Cloud Platform with an accent on scalable data ingestion pipelines and large-scale data processing. Focus on building PySpark applications, orchestrating complex workflows with Apache Airflow, and implementing Change Data Capture patterns.

Location: Hybrid (Irving, TX or Ohio)

Company

hirify.global is a professional staffing and IT services provider specializing in technical recruitment and workforce solutions.

What you will do

• Design, build, and maintain scalable Data Lake solutions within Google Cloud Platform (GCP).
• Develop batch and streaming data ingestion pipelines using GCP-native services and big data technologies.
• Build and optimize data processing workflows, including data models and transformation processes.
• Develop PySpark-based data processing applications and orchestrate workflows via Apache Airflow.
• Implement and manage CI/CD pipelines and Pub/Sub-based streaming architectures.
• Collaborate with architecture, security, and business teams to ensure data solutions align with enterprise standards.

Requirements

• 4+ years of experience with Google Cloud Platform (GCP).
• 4+ years of experience with PySpark and distributed data processing.
• 4+ years of experience implementing CI/CD practices and deployment automation.
• 2+ years of experience building data pipelines and using Apache Airflow.
• Experience developing and integrating APIs.
• Employment eligibility: W2 only, no C2C.

Nice to have

• Experience with Hadoop Ecosystem and HDFS.
• Familiarity with Change Data Capture (CDC) methodologies and incremental ingestion.
• Experience building enterprise-scale IAM or security-related data platforms.
• Knowledge of data governance, lifecycle management, and access control within GCP.

Culture & Benefits

• 12-month contract duration.
• Opportunity to work with modern cloud-native big data technologies.