Risk Data Engineer Senior-AWS-Data Scientist
Risk Data Engineer Senior-AWS-Data Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
At EY youll have the chance to build a career as unique as you are with the global scale support inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself and a better working world for all.
RCE-Risk Data Engineer/Leads
Description External
Job Description: -
Our Technology team builds innovative digital solutions rapidly and at scale to deliver the next generation of Financial and Non- Financial services across the globe.
The Position is a senior technical hands-on delivery role requiring the knowledge of data engineering cloud infrastructure and platform engineering platform operations and production support using ground-breaking cloud and big data technologies.
The ideal candidate with3-6 yearsof experience will possess strong technical skills an eagerness to learn a keen interest on 3 keys pillars that our team support i.e. Financial Crime Financial Risk and Compliance technology transformation the ability to work collaboratively in fast-paced environment and an aptitude for picking up new tools and techniques on the job building on existing skillsets as a foundation.
In this role you will:
- Develop a thorough understanding of the data science lifecycle including data exploration preprocessing modelling validation and deployment
- Design build and maintain tree-based predictive models such as decision trees random forests and gradient-boosted trees with a low-level understanding of their algorithms and functioning.
- Ingestion and provisioning of raw datasets enriched tables and/or curated re-usable data assets to enable variety of use cases.
- Evaluate modern technologies frameworks and tools in the data engineering space to drive innovation and improve data processing capabilities.
Core/Must Have skills.
- Significant data analysis experience using python SQL and in python or spark to write scripts for data transformation integration and automation tasks.
- 3-6 years experience with cloud ML (AWS) or any similar tools.
- Design build and maintain tree-based predictive models such as decision trees random forests and gradient-boosted trees with a low-level understanding of their algorithms and functioning.
- Strong Experience with statistical analytical techniques data mining and predictive models.
- Conduct A/B testing and other model validation techniques to ensure the accuracy and reliability of data models..
- Experience with optimization modelling machine learning forecasting and/or natural language processing.
- Hands-on experience with Amazon S3 data storage data lifecycle policies and integration with other AWS services.
- Maintain optimize and scale AWS Redshift clusters to ensure efficient data storage retrieval and query performance
- Utilize Amazon S3 to store raw data manage large datasets and integrate with other AWS services to ensure secure scalable and cost-effective data solutions.
- Experience in implementing CI/CD Pipelines in AWS.
- At least 4 years of experience in Database Design and Dimension modelling using SQL
- Advanced working SQL Knowledge and experience working with relational and NoSQL databases as well as working familiarity with a variety of databases (SQL Server Neo4J)
- Strong analytical and critical thinking skills with ability to identify and resolve issues in data pipelines and systems.
- Strong communication skills to effectively collaborate with team members and present findings to stakeholders.
- Collaborate with cross-functional teams to ensure successful implementation of solutions.
- Experience with OLAP OLTP databases and data structuring/modelling with understanding of key data points.
Good to have:
- Apply domain knowledge (if applicable) in financial fraud to enhance predictive modelling and anomaly detection capabilities.
- Knowledge of AWS IAM for managing secure access to data resources.
- Familiarity with DevOps practices and automation tools like Terraform or CloudFormation.
- Experience with data visualization tools like Quick Sight or integrating Redshift data with BI tools (Tableau PowerBI etc.).
- AWS certifications such as AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect are a plus.
EY Building a better working world
EY exists to build a better working world helping to create long-term value for clients people and society and build trust in the capital markets.
Enabled by data and technology diverse EY teams in over 150 countries provide trust through assurance and help clients grow transform and operate.
Working across assurance consulting law strategy tax and transactions EY teams ask better questions to find new answers for the complex issues facing our world today.
Employment Type
Full Time
