DATAOPS/CLOUD DATA ENGINEER
United States Digital Space LLC • toronto, on • Posted July 04, 2026
About the Role
Responsibilities
Design, develop, test, implement, and troubleshoot data pipelines using various tools such as Databricks, Azure Data Factory, AWS Glue Complex data transformation procedures Data models for data warehouses and lakehouses Experience Requirements
Data engineering Experience Programming & scripting
: Python, SQL, Linux shell, PowerShell. Data manipulation/analysis using
pandas
and
pyspark
. Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data. Cloud experience
40% AWS
and/or
Azure
services. Cloud
data warehouse
solutions such as AWS Redshift. Data lakehouse solutions such as Databricks (Delta Lake). Data processing or orchestration/automation
25% Data Warehouse ETL tools (such as Azure Data Factory, AWS Glue) as well as cloud agnostic tools such as Informatica IDMC. Data modeling & architecture
Design, develop, test, implement, and troubleshoot data pipelines using various tools such as Databricks, Azure Data Factory, AWS Glue Complex data transformation procedures Data models for data warehouses and lakehouses Experience Requirements
Data engineering Experience Programming & scripting
: Python, SQL, Linux shell, PowerShell. Data manipulation/analysis using
pandas
and
pyspark
. Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data. Cloud experience
40% AWS
and/or
Azure
services. Cloud
data warehouse
solutions such as AWS Redshift. Data lakehouse solutions such as Databricks (Delta Lake). Data processing or orchestration/automation
25% Data Warehouse ETL tools (such as Azure Data Factory, AWS Glue) as well as cloud agnostic tools such as Informatica IDMC. Data modeling & architecture