Join our team as a Data Transformation Associate, where you'll design scalable data pipelines and transform data to support analytics and business intelligence. Promote decisions impacting product design and technical operations, while developing AI/ML solutions on AWS to tackle complex business challenges and foster innovation.

As a Data Transformation Associate within our Data Transformation team, you will be responsible for designing, developing, and maintaining scalable data pipelines, transforming data to a Logical Data Model (LDM) to support data analytics and business intelligence initiatives. You will promote decisions that influence product design, application functionality, and technical operations and processes, and collaborate with cross-functional teams to understand business requirements and formulate technical solutions. You will also design, develop, and deploy AI/ML solutions on AWS to solve complex business problems and promote innovation.

Job responsibilities:

Design, develop, and maintain scalable data pipelines to transform data for analytics and business intelligence.Drive decisions that influence product design, application functionality, and technical operations.Design, develop, and deploy AI/ML solutions on AWS to address complex business problems and foster innovation.Collaborate with cross-functional teams to understand business requirements and formulate technical solutions.Manage business stakeholders with product roadmap and delivery.

Required qualifications, capabilities, and skills:

Experience with data platforms such as Databricks, Snowflake, and Redshift.Familiarity with cloud platforms like AWS, Azure, or Google Cloud.Proficiency in programming languages such as Enterprise Java or Python.Experience with technologies like Spark and Kafka.Experience using machine learning frameworks like TensorFlow or PyTorch.Ability to design and implement AI/ML models and algorithms to address business challenges and opportunities.Develop and deploy scalable machine learning solutions. Optimize and fine-tune machine learning models for performance and scalability.Ensure the security, reliability, and efficiency of AI/ML solutions deployed on AWS.Conduct research and experiments to explore new AI/ML techniques and methodologies.Good understanding of data privacy, security best practices, and compliance requirements to ensure safe and ethical use of LLMs.