Description

You will build and maintain data engineering pipelines while applying machine learning concepts to drive analytics and predictive solutions.

This role is on-site.

Responsibilities

• Design and implement robust data architectures, modeling, and governance frameworks.
• Develop and optimize SQL queries and ETL processes using relational databases like MySQL and DB2.
• Build software components in Python and Java to support data engineering workflows.
• Create and maintain interactive reports and dashboards using Power BI or Tableau.
• Apply machine learning and statistical analysis techniques, including LLM implementation, to solve business problems.

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).
• Experience in software development using object-oriented languages such as Python and Java.
• Solid understanding of data modeling, architecture, and governance principles.
• Hands-on experience with reporting tools such as Power BI or Tableau.
• 2+ years of experience or exposure to Machine Learning concepts, including model development and statistical analysis.
• Bachelor’s degree in Computer Science, Data Engineering, or a related field.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, GCP) and cloud databases like Snowflake.
• Background in financial services or wealth management domains.
• Direct AI/ML engineering experience.

Key Skills

Education

Any Graduate