job summary:
NOTE: 100% on site
Preferred Location is Southlake, TX / Secondary work location is Austin, TX
Your Opportunity
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.
location: Southlake, Texas
job type: Contract
salary: $53.25 - 58.25 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
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.
qualifications:
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.
- Robust 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.
- Robust 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.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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