Vacancy caducado!
- Partner and work collaboratively with internal customers to understand strategic analytics and business intelligence needs and the associated enabling technology requirements.
- Assist in delivering data & analytics to enable a modern cloud-based data environment and the best practices, governance, and controls to support the broad adoption and use across the enterprise
- Deliver enabling capability to support the rapid ingestion of new data and the timely deployment of advanced analytic models into production
- Support the development of engineering capabilities that promotes sharing, inner sourcing and reuse of code, capabilities and methods in a cloud-first environment that leverages highly automated DevOps tools and capabilities
- Accelerate data and analytics transformation and cloud adoption while being a champion of security, standards, governance, and best practices with a focus on data quality and integrity
- Bachelor's degree in computer science or engineering
- 2+ years in the data engineering space with deep experience delivering enhanced analytic and data access capabilities
- 2+ years of experience in Big Data Technologies
- Experience with Cloud-based technologies (MS Azure)
- Experience with advanced functional programming (Scala, Python)
- Knowledge of Azure cloud and Data Lake preferred
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy
- Experience with Cloud-based technologies (Spark, Kafka, Databricks)
- Direct experience with Machine Learning techniques (Deep Learning, Sentiment Analysis, Random Forest/Decision Tree modelling)
- Productionize analytical data products by deploying them in cloud-based platforms using CI/CD tools
- Collaborate in an agile team structure to design, develop, test, implement, and support technical solutions in full stack development technologies using Jira
- Knowledge or experience within the Insurance or Financial Services Industry
Vacancy caducado!