Data Engineer

A company is looking for a Data Engineer II to manage data platforms that support their go-to-market AI engine.

Key Responsibilities

Build and maintain ETL / ELT data pipelines in Databricks and Spark for analytics and AI use cases

Develop logical and physical data models to support reporting and advanced workflows

Implement monitoring and testing for data quality and lineage to ensure reliable data delivery

Required Qualifications

2-3 years of experience in data engineering with a focus on large-scale data platforms

Hands-on experience with modern data technologies such as Databricks, DBT, or Snowflake

Proficiency in Python and SQL for designing robust ETL / ELT pipelines

Experience in orchestrating data workflows and enabling machine learning or AI use cases

Strong understanding of data modeling and performance optimization