REQUIREMENTS:
- Experience: 11+ years
- Strong working experience working with Snowflake for data science and machine learning projects.
- Hands-on experience in using Snowpark ML for model development and training
- Strong programming skills in languages such as Python, R, or SQL.
- Strong experience in Apache Spark, Data Modeling, ETL Concepts, ETL Load Orchestration.
- Good understand of Building Data platform, Data platform implementation and Data Security.
- In-depth knowledge of cloud platforms, such as AWS, Azure, or GCP.
- Familiarity with data governance, security, and compliance standards.
- Hands-on experience with analytic tools, including but not limited to Tableau, Power BI, or similar platforms.
- Excellent problem-solving skills and ability to troubleshoot technical issues related to 3D modeling and rendering.
- Knowledge of performance optimization techniques is critical for ensuring efficient gameplay.
- Ability to explore and grasp new technologies
- Mentoring your team members in projects and helping them keep up with new technologies
- Excellent communication and interpersonal skills
RESPONSIBILITIES:
- Writing and reviewing great quality code
- Understanding the client’s business use cases and technical requirements and be able to convert them in to technical design which elegantly meets the requirements
- Mapping decisions with requirements and be able to translate the same to developers
- Identifying different solutions and being able to narrow down the best option that meets the client’s requirements
- Defining guidelines and benchmarks for NFR considerations during project implementation
- Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
- Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed
- Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
- Understanding and relating technology integration scenarios and applying these learnings in projects
- Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken
- Carrying out POCs to make sure that suggested design/technologies meet the requirements
Bachelor's or Master's degree in computer science, Information Technology, or a related field.
