Google Cloud Platform Data Engineer
Long term contract
Phoenix, AZ (Hybrid-3 days onsite)
Direct client
Immediate client interview
Job description:
In this role you will be contracted to build and maintain scalable data pipelines on Google Cloud Platform (Google Cloud Platform) to serve our fraud data mart customers. You will work closely with cross-functional teams to ensure data integrity, reliability, and scalability. Your expertise in Google BigQuery, Google Cloud Storage, Dataflow, Cloud Composer, Python, and SQL will be crucial in developing effective data solution that support our fraud data analytics and reporting efforts.
What you re good at
Design, build, and maintain scalable data pipelines using Google Cloud Platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam), Cloud Composer (Airflow) and Pub/Sub.
Write high-performance, production-grade Python and SQL, optimizing queries to support data extraction, transformation, and loading (ETL) processes.
Implement complex data models in BigQuery, utilizing partitioning, clustering, and materialized views for optimal performance.
Collaborate with cross-functional teams, including business customers, Subject Matter Experts, to understand data requirements and deliver effective solutions.
Implement best practices for data quality, data governance and data security.
Monitor and troubleshoot data pipeline issues, ensuring high availability and performance.
Contribute to data architecture decisions to provide recommendations for improving the data pipeline.
Stay up to date with emerging trends and technologies in cloud-based data engineering and cyber security.
Exceptional communication skills, including the ability to gather relevant data and information, actively listen, dialogue freely, and verbalize ideas effectively.
Ability to work in an Agile work environment to deliver incremental value to customers by managing and prioritizing tasks.
Proactively lead investigation and resolution efforts when data issues are identified taking ownership to resolve them in a timely manner.
Ability to interoperate and document processes and procedures for producing metrics.
Must Have
Bachelor s or Master s degree in computer science, Information Systems, Engineering, or related field.
8+ years of hands-on experience with data management in gathering data from multiple sources and consolidating them into a single centralized location. Transforming the data with business logic in a consumable manner for visualization and data analysis.
Strong expertise in Google BigQuery, Google Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and related Google Cloud Platform (Google Cloud Platform) services.
Proficiency in Python and SQL for data processing and automation.
Experience with ETL processes and data pipeline design.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration.
Nice to Have
Deep expertise in real-time processing using Kafka or Pub/Sub
Experience with Power BI development and visualization
Experience with modern data stack such as Snowflake, Databricks (though Google Cloud Platform is our focus)
Knowledge of DevOps practices and tools such as Terraform.
Familiarity with data visualization tools such as Tableau, Grafana, and/or Looker.
Google Professional Data Engineer certification is a plus
Demonstrated Fraud and Financial Crime domain knowledge will be beneficial.
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