Associate 2

About the Role

As a Snowflake+Cortex+Data Quality & Governance Associate 2, you will support data engineering work that designs data pipelines, integration flows, and transformation logic. This role focuses on learning, contributing to project tasks, adapting to changing client needs, and developing technical skills and business awareness to deliver reliable work in a team environment. You will work on Snowflake and Cortex data quality and governance activities, participate in research and problem-solving, and help validate data outputs, documentation, and technical standards.

Key Responsibilities

• Developing Snowflake and Cortex data quality solutions to support cloud data modernization initiatives.
• Building and maintaining data pipelines, integration flows, and transformation logic across modern data platforms.
• Validating data accuracy, consistency, and completeness through testing, monitoring, and reconciliation activities.
• Applying data governance concepts to support data quality controls, metadata practices, and issue tracking.
• Collaborating with client teams and internal stakeholders to gather requirements and translate them into technical data solutions.
• Supporting data modeling, warehouse design, and schema development for analytical and operational use cases.
• Troubleshooting pipeline failures, query performance issues, and data loading errors across Snowflake environments.
• Using SQL, Python, and orchestration tools such as Apache Airflow to automate data engineering tasks.

Requirements & Tech Stack

• Snowflake
• Cortex
• SQL
• Python
• Apache Airflow

Qualifications

• At least a Bachelor's degree.
• At least 3+ years of experience.
• Oral and written proficiency in English.

What Sets You Apart

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics.
• Applying Snowflake and Cortex for data quality or governance work.
• Building data pipelines, data models, and validation checks.
• Using AWS, Azure, or Databricks in data modernization work.
• Gathering facts from multiple sources and spotting patterns.
• Communicating ideas clearly, asking questions, and seeking feedback.
• Learning technical standards while adapting to client needs.