TL;DR

Middle Senior Data Support Engineer: Supporting and maintaining cloud data and analytics environments, including data pipelines and warehouse systems, with an accent on troubleshooting, CI/CD pipeline monitoring, and cloud technologies like Azure, AWS, Snowflake, and Databricks. Focus on ensuring reliable data ingestion, server maintenance, and effective communication with end users.

Location: Flexible working format - remote, office-based or hybrid

Company

%hirify_global% is an outsourcing company cooperating with a leading North American school transportation solutions provider managing millions of student journeys daily.

What you will do

Provide support in production environments across all data and analytics platforms
Plan, test, and implement server upgrades, maintenance fixes, and patches
Create, monitor, and troubleshoot data and analytics pipelines
Build and run scripts for data transformation and fix ingestion errors
Oversee development and modifications in client data warehouse environments
Install, configure, and support implementations

Requirements

Experience supporting cloud data and analytics technologies (Azure, Snowflake, Databricks)
Strong SQL and good Python skills
Good knowledge of Data Warehouse concepts and troubleshooting skills
Experience with CI/CD pipeline monitoring and fixing
Upper-intermediate English communication skills required

Nice to have

Experience with AWS services
Experience building and maintaining DBT pipelines
Experience with Spark
Experience using ServiceDesk

Culture & Benefits

Flexible working format: remote, office-based, or hybrid
Competitive salary and compensation package
Personalized career growth and professional development tools
Active tech communities and knowledge sharing
Education reimbursement and memorable anniversary presents
Corporate events and team buildings