Description

You will build and maintain data pipelines and analytical solutions to support machine learning and predictive modeling.

Responsibilities

• Develop data models and architectures following established governance principles.
• Implement machine learning concepts, including model development and large language model (LLM) integration.
• Perform statistical analysis to drive predictive and analytical solutions.
• Build and maintain reporting dashboards using visualization tools.
• Collaborate with teams to integrate data engineering workflows with software development processes.

Required Skills

• 6+ years of experience in data engineering and analytics roles.
• Strong proficiency in SQL and relational databases including MySQL and DB2.
• Experience with object-oriented programming in Python or Java.
• 2+ years of experience or exposure to Machine Learning, LLM implementation, and statistical analysis.
• Hands-on experience with reporting tools like Power BI or Tableau.
• Solid understanding of data modeling, architecture, and governance.
• Bachelor’s degree in Computer Science, Data Engineering, or a related field.

Preferred Skills

• Exposure to cloud databases such as Snowflake.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Background in financial services or wealth management domains.

Key Skills

Education

Any Graduate