W2 : Data Engineer - Mississauga, ON / Montreal, QC( Hybrid )
4 weeks ago
Role: Data Engineer
Location: Mississauga, ON / Montreal, QC
3 Days Hybrid from Day 1
Must Have:
- Snowflake
- SQL
- Python
- ADF
Job Description:
This position is for a Cloud Data Engineer with a background in Python, Pyspark, SQL, and data warehousing for enterprise-level systems. The position calls for someone who is comfortable working with business users along with business analyst expertise.
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 programs in the Databricks environment to process and analyze large volumes of data.
- Experience with 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.
- Work with event-based/streaming technologies to ingest and process data.
- Work with structured, semi-structured, and unstructured data.
- Optimize Databricks jobs for performance and scalability to handle big data workloads.
- Monitor and troubleshoot Databricks jobs, identifying and resolving 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 in writing SQL queries and programming including stored procedures and reverse engineering existing processes.
- 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 of experience 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.
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