IT Cloud Data Engineer || Toronto

Job summary

Design, build, and optimize scalable cloud data pipelines and Databricks solutions for ingesting, transforming, and processing large datasets. Monitor and troubleshoot data workloads, maintain data quality and security, and review code for performance and adherence to standards.

Job details

Role : IT Cloud Data Engineer Location : Ottawa / Toronto (Hybrid) The Cloud Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and Azuer cloud platforms. This role involves working with large datasets, optimizing data workflows, and ensuring secure, efficient data storage and processing in cloud environments. Major Responsibilities: Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity. Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data. Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling. Proficient in developing programs in Python and SQL Experience with Data warehouse Dimensional data modeling. Working with event based/streaming technologies to ingest and process data. Working with structured, semi structured and unstructured data. Optimize Databricks jobs for performance and scalability to handle big data workloads. Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks. Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions. Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process. Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards. Skills: Python coding experience. SQL Server based development of large datasets Experience with developing and deploying ETL pipelines using Databricks Pyspark. Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling. Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills. Experience with Cloud based data architectures, messaging, and analytics. Cloud certification(s). Any experience with Airflow is a Plus.

What you’ll do

Design, build, and optimize scalable cloud data pipelines and Databricks solutions for ingesting, transforming, and processing large datasets. Monitor and troubleshoot data workloads, maintain data quality and security, and review code for performance and adherence to standards.

Requirements

Requires strong Python, SQL, Databricks, and PySpark experience, along with expertise in data warehousing, dimensional modeling, and ETL development. The role also calls for cloud data architecture and migration experience, familiarity with streaming and varied data types, and cloud certification; Airflow experience is a plus.

Listed skills

• SQL · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Databricks
• PySpark
• Spark
• Delta Lake
• ETL Pipelines
• Data Warehousing
• Dimensional Data Modeling
• Data Integration
• Cloud Data Architecture
• Data Migration
• Streaming Data
• Data Governance
• Airflow
• SQL Server

Job areas

• Technology
• Data & Analytics
• Software
• Engineering

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