Description

Build and maintain data infrastructure for predictive analytics and LLM solutions.

This role is on-site.

Responsibilities

• Design and implement data models, architectures, and governance frameworks.
• Develop and optimize complex SQL queries for MySQL and DB2 databases.
• Build data pipelines and analytics solutions using Python and Java.
• Create and maintain reporting dashboards using Power BI or Tableau.
• Apply machine learning concepts and statistical analysis to derive predictive insights.

Required Skills

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

Preferred Skills

• Experience with cloud databases like Snowflake or cloud platforms (AWS, Azure, GCP).
• Domain experience in financial services and wealth management.

Key Skills

Education

Any Graduate