AddressWe are a forward-thinking leading company at the forefront of innovation, leveraging data-driven insights and AI technologies to drive business success. Our team is comprised of top talent who are dedicated to pushing the boundaries of what's possible in the realm of Data Engineering and AI.
Position Overview:
The ideal candidate will have a Data Engineering background. Your work will be very Data focused and work within the Data/DW team and Technology stack.
Key Responsibilities:
- Interpret data from disparate of sources, analyze results using statistical techniques.
- Hands on working with Prompt AI/ML & Data Engineering across Azure, AWS, Talend, Snowflake and SQL.
- To design and develop scalable solutions using AI tools, machine learning models and generative AI models.
- Automate engineering solutions to create products to be used across the business.
- Establish and maintain collaboration with research and business teams to converge on the best solutions.
- Develop Machine Learning models to gain insights and provide information around trends and patterns.
- Building data pipelines for machine learning to production.
- Ability to analyze forecast results, pinpoint the weakness of existing models and experiment with ideas of improving it.
- Coordinate the project with stakeholders – requirements, solution designing, implementation.
- Develop new analytics and visualization prototypes with business.
- Improve quality of data models, data flows and data processing of data systems, reporting, analytics and integration solutions.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- a cloud-based environment such as AWS/Azure/GCP.
- Strong fundamental knowledge of Data Vault, ETL/ELT and data warehousing concepts.
- Experience in Data Integration Tools such as Talend.
- Advanced SQL knowledge, including fluency with PL/SQL procedures.
- Experience with Cloud data platform such as Snowflake.
- Hands on experience with Prompt AI/ML & Data Engineering across Azure, AWS, Talend, Snowflake and SQL
- Good understanding of Business Intelligence and Data Management concepts.
