Position Description :

As a GCP Data Engineer, you will integrate data from various sources into novel data products.

You will build upon existing analytical data, including merging historical data from legacy platforms with data ingested from new platforms.

You will also analyze and manipulate large datasets, activating data assets to enable enterprise platforms and analytics within GCP.

You will design and implement the transformation and modernization on GCP, creating scalable data pipelines that land data from source applications, integrate into subject areas, and build data marts and products for analytics solutions.

You will also conduct deep-dive analysis of Current State Receivables and Originations data in our data warehouse, performing impact analysis related to the clients' Credit North America's modernization and providing implementation solutions.

Moreover, you will partner closely with our AI, data science, and product teams, developing creative solutions that build the future for the client's Credit.

Experience with large-scale solutions and operationalizing data warehouses, data lakes, and analytics platforms on Google Cloud Platform or other cloud environments is a must.

We are looking for candidates with a broad set of analytical and technology skills across these areas and who can demonstrate an ability to design the right solutions with the appropriate combination of GCP and 3rd party technologies for deployment on Google Cloud Platform.

Skills Required :

- The candidate should have strong hands-on experience with Google Cloud Platform (GCP), including BigQuery, Dataflow, Dataproc, Data Fusion, and Cloud SQL.

- Proficiency in Terraform, Tekton, Airflow, PostgreSQL, PySpark, Python, and API development is also required.

Preferred Skills :

- Experience or knowledge in AI/ML will be preferred.

Experience Required:

- The position requires 7+ years of professional experience in Data Engineering, with strong hands-on experience in designing, developing, and supporting data engineering solutions.

Education Required:

- A Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field is required