Data Engineer for Scalable Analytics Solutions
6 hours ago
About Link Group
At Link Group, we're dedicated to becoming a data-driven digital leader, creating measurable value for our customers and internal stakeholders alike. Our vision demands the development of world-class analytics products and services, seamlessly integrated into business processes and customer-facing solutions.
To achieve this goal, we need experts with a diverse range of skills in analytics and technology. As part of our team, you'll play a critical role in designing and implementing scalable data pipelines for machine learning models using GCP tools like Dataflow, Dataproc, and BigQuery.
Data Engineer Responsibilities
- Design and Develop Data Pipelines: Create efficient and scalable data pipelines leveraging GCP services such as Dataflow (Apache Beam), Dataproc (Apache Spark), and Pub/Sub.
- Data Storage Solutions: Implement and manage data storage solutions utilizing GCP services such as BigQuery, Cloud Storage, and Cloud SQL.
- Data Analysis and Reporting: Optimize SQL queries for data analysis and reporting in BigQuery.
Project Highlights
- Engineering Support for Machine Learning Model: Collaborate on the engineering support of a supervised machine learning model developed for Transaction Monitoring.
- Generative AI Solutions: Work on Generative AI solutions to enhance the Customer Due Diligence (CDD) review process.
- ML Pipeline Adjustments: Conduct prompt engineering and/or retrieval improvements, data extraction, and deliver a working end-to-end pipeline meeting quality criteria defined in the architecture and agreed upon by the business counterpart.
Required Skills and Qualifications
- Spark
- PySpark
- GCP
- Data platform
Benefits and Perks
- Sport subscription
- Private healthcare
- International projects
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