Description

You build and maintain large-scale data ingestion and transformation pipelines for enterprise clients.

This role is on-site.

Responsibilities

• Develop and deliver scalable digital and data solutions for multiple customers.
• Implement robust data ingestion and transformation pipelines using modern cloud technologies.
• Translate business requirements into comprehensive technical solutions for complex data processing.
• Analyze and optimize data flows, quantitative models, and query performance.
• Communicate effectively with non-technical stakeholders to align on business needs.

Required Skills

• 7+ years of experience building data solutions using ETL/ELT tools.
• Proficiency in SQL and Python for data analysis and engineering.
• Hands-on experience with Snowflake, Amazon S3, and Databricks.
• Strong problem-solving skills and ability to design technical solutions.
• Experience in the financial services industry is preferred.
• Knowledge of query optimization, window aggregate functions, and stored procedures.
• Understanding of metadata-driven processes and quantitative models.

Preferred Skills

• Databricks certification.
• Deep understanding of business processes and quantitative modeling.

Key Skills

Education

Any Graduate