Description

You will design and maintain data pipelines and structures to support business intelligence and transformation needs.

This role is on-site.

Responsibilities

• Build processes for data transformation, metadata management, dependency tracking, and workload management.
• Investigate complex issues across multiple systems to ensure data integrity.
• Perform root cause analysis on internal and external data to identify process improvements.
• Manage priorities across multiple projects within an Agile team environment.
• Mentor other engineers on technical best practices.

Required Skills

• 3-8 years of total experience in data engineering roles.
• 2+ years of experience working with Snowflake, preferably on Azure Cloud.
• Strong SQL skills for building queries and applying optimization techniques.
• Hands-on experience with ETL processes using SSIS, Azure Data Factory (ADF), or Matillion.
• Experience with data streaming tools and real-time data technology.
• Knowledge of Fivetran or other no-code ETL tools.
• Experience working within Agile teams.
• Bachelor's Degree in Software Engineering, Computer Science, or a related field, or equivalent work experience.

Preferred Skills

• Python programming knowledge.
• Experience with Apache Airflow.

Key Skills

Education

Any graduate