Keyrus
EY – GDS Consulting – AI and DATA – Data Architect – SM
Job Description
At EY, you’ll 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 we’re 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.
EY GDS – AI and DATA – Senior Manager – Data Architect
As part of our EY-GDS AI & DATA team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.
The opportunity
We’re looking for Senior Manager with strong technology and data understanding having proven delivery capability and client experience. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.
Responsibilities
- Senior Manager with Analytics to develop and analyze features at scale. Provide SME level interface for team members to optimize their workflows, streamline operationalization and reduce time-to-market
- Develop distributed applications on-prem as well as on Cloud that scale to serve ML models, analytics, rules, web-applications, and Visualizations for end-users
- Production deployment and Model monitoring to ensure stable performance and adherence to standards
- Develop libraries to ease development, monitoring and control of data and models
- Identify potential improvements to the current design/processes.
Skill Set:
Primary skills
- Experienced professional with 12 – 14 years of experience working towards design, architecture, development, and operationalization of Data Engg & AI/ML models across Big Data Ecosystem (PySpark, Hadoop, Snowflake, Python)
- Experience in architecture, design, and implementation of data intensive applications for practical use-cases
- Experience and understanding Java/C++
- Experience working in Linux environment involving writing shell scripts, troubleshooting business user issues, Familiar with NFS shares, resolving permission issues and space issues.
Good to have skills
- Experience in the Financial Industry.
- Knowledge of Data Warehouse (Teradata, Oracle, SQL server, etc)
- Knowledge of cloud platforms
- Experience working in and Kanban Team
- Knowledge of CI/CD Pipelines GitHub Actions
Qualifications
- Bachelor’s or Master’s degree in Computer Science or related field, or equivalent job experience
- 12+ years of experience in software development
- 7+ years of experience architecting distributed systems
- 4+ years of experience building ML applications
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.