Description

You will build and maintain data pipelines for analytics and machine learning workloads, integrating large language models into production systems. You own the full lifecycle of data engineering tasks, from modeling to deployment.

Responsibilities

• Design and implement robust data models and architecture to support predictive analytics and LLM integration.
• Develop and optimize complex SQL queries and ETL processes using relational databases such as MySQL and DB2.
• Build scalable data services and automation scripts in Python or Java, applying object-oriented programming principles.
• Create and maintain interactive dashboards and reports using Power BI or Tableau to drive business insights.
• Apply statistical analysis and machine learning concepts to solve analytical problems and enhance model performance.

Required Skills

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

Preferred Skills

• Experience with cloud database platforms like Snowflake.
• Familiarity with cloud infrastructure providers (AWS, Azure, GCP).
• Domain experience in financial services or wealth management.

Key Skills

Education

Any Graduate