Senior Data & Analytics Engineer - AI-Driven Pipelines

ООО «ХАГЕМАЕР ГРУПП»; New York (NY); Hybrid; MXN 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Marsh is seeking a Senior Analyst in Data & Analytics to advance scalable data and AI-driven analytics solutions. You will join a data delivery team ensuring ETL quality and accuracy across sources and destinations.

This senior role combines data engineering with Generative AI and modern data platforms, requiring collaboration with stakeholders to translate requirements into reliable data products for analytics and AI use cases.

Qualifications

• Bachelor’s degree in a quantitative field and 4+ years in data analytics or data engineering.
• Strong SQL and Python for data processing and automation.
• Experience building ETL/ELT pipelines and data warehousing concepts.
• Experience with Databricks or comparable cloud data platforms.
• Excellent communication with business and technical stakeholders.

Responsibilities

• Design, build, and maintain scalable data pipelines with Databricks.
• Create data models following lakehouse concepts (Bronze-Silver-Gold).
• Transform, cleanse, and validate data using SQL and Python.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Ensure data quality and pipeline performance; support analytics and AI use cases.

Skills

Advanced SQL

Python for data processing

ETL/ELT pipelines

Databricks

Data modeling

Communication with stakeholders

English proficiency

Education

Bachelor's degree in Data Science, Computer Science, Engineering, or related quantitative field

Tools

Databricks platform

SQL

Python

Power BI / BI tools

Job description

Marsh is seeking a Senior Analyst in Data & Analytics to advance scalable data and AI-driven analytics solutions. You will join a data delivery team ensuring ETL quality and accuracy across sources and destinations.

This senior role combines data engineering with Generative AI and modern data platforms, requiring collaboration with stakeholders to translate requirements into reliable data products for analytics and AI use cases.