Data Engineer
- Toronto, ON, Canada
Contract
Applications open in a new tab.
Job details
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
ole: IT Cloud Data Engineer
Location: Ottawa / Toronto (Hybrid)
Duration: Long term Project
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:
· 5+ years Python coding experience.
· 5+ years - SQL Server based development of large datasets
· 5+ years with 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.
More about this job
Responsibilities
Design, build, and optimize scalable data pipelines and cloud data platforms, including Databricks and Spark solutions for processing large datasets. Monitor and troubleshoot data jobs, maintain data quality and security, and review code for performance and compliance with established standards.
Requirements
Requires at least five years of Python development, SQL Server development with large datasets, and experience building and deploying ETL pipelines using Databricks PySpark. Candidates should also have data warehousing and modeling experience, cloud data architecture expertise, and strong architectural skills; cloud certifications are noted, and Airflow experience is a plus.
Skills
- Python
- SQL
- SQL Server
- Databricks
- PySpark
- ETL Pipelines
- Data Pipelines
- Delta Lake
- Data Warehousing
- Dimensional Data Modeling
- Data Integration
- Streaming Technologies
- Cloud Data Architecture
- Data Security and Governance
- Airflow
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Python
- SQL
- SQL Server
- Databricks
- PySpark
- Apache Spark
- Delta Lake
- ETL
- Data Pipelines
- Data Warehousing
- OLTP
- OLAP
- Dimensional Modeling
- Data Integration
- Data Modeling
- Cloud Data Architecture
- Cloud Data Platforms
- Enterprise Data Warehouse
- Data Migration
- Streaming Data
- Messaging
- Structured Data
- Semi-Structured Data
- Unstructured Data
- Data Quality
- Data Governance
- Data Security
- Synapse
- BigQuery
- Redshift