Description

You will design, build, and maintain data engineering pipelines and analytics solutions with a focus on integrating machine learning and LLM capabilities.

This role is on-site.

Responsibilities

• Develop and optimize data models, architecture, and governance frameworks for relational databases like MySQL and DB2.
• Build software components using object-oriented programming in Python and Java to support data engineering workflows.
• Create and maintain reporting dashboards using Power BI or Tableau to drive business insights.
• Implement machine learning concepts, including model development, large language model (LLM) integration, and statistical analysis for predictive solutions.
• Collaborate with teams to ensure data integrity and effective communication of technical solutions.

Required Skills

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

Preferred Skills

• Al/ML experience is plus
• Exposure to Cloud Databases like Snowflake etc.
• Experience in financial services and wealth management domains.
• Experience with cloud platforms (e.g., AWS, Azure, GCP).

Key Skills

Education

Any Graduate