Tech Stack

Description

You will contribute to developing and enhancing data ingestion and processing pipelines, collaborate with data scientists and engineers to build robust data infrastructure, and support the delivery of scalable solutions for AI and decision-making tools.

Requirements

• Proven commercial experience in data engineering or related roles
• Proficiency in SQL and Python for data processing and pipeline development
• Experience with data warehousing concepts and ETL/ELT processes
• Hands-on experience with Snowflake, Databricks, or Redshift
• Familiarity with data orchestration tools like Apache Airflow, Prefect, or DBT

Responsibilities

• Contribute to development and enhancement of data ingestion and processing pipelines
• Partner with product managers, data scientists, and engineers to build accurate data infrastructure
• Collaborate with technical leads on data architecture decisions
• Support team in delivering scalable solutions
• Help build and maintain data pipelines for AI and decision-making tools