Senior Data Engineer

E-IT; Toronto; On-site; CAD 110,000 - 140,000; Full time

Job summary

E IT in Toronto seeks a Senior Data Engineer with extensive Python, PySpark, SQL and data warehousing experience to support enterprise-level systems and collaborate with business users and analysts.

You will build and optimize data pipelines, design Delta Lake-based DW, implement governance, and lead cloud data platform migrations, delivering scalable analytics for complex data environments.

Qualifications

• 5+ years of SQL Server development for large datasets.
• 5+ years experience developing and deploying ETL pipelines with Databricks PySpark.
• Experience with cloud data warehouses (Synapse, BigQuery, Redshift, Snowflake).
• Experience in data warehousing concepts (OLTP/OLAP, dimensions, facts, modeling).

Responsibilities

• Build and optimize data pipelines for ingestion, transformation and loading with quality.
• Design, develop, and deploy Spark programs in Databricks to process large data volumes.
• Experience with Delta Lake, DWH, data integration, cloud adoption and data modeling.
• Proficient in Python and SQL development including stored procedures.
• Lead enterprise data platform migration with strong architectural and design skills.
• Implement data management, security, and governance within Databricks.

Skills

SQL Server

Databricks PySpark

Cloud data warehouses

Dimensional modeling

Cloud data platform migration

Education

Bachelor's degree in engineering or computer science

Tools

Delta Lake

Spark

Databricks

Job description

Must have : SQL+ Datawarehouse+ Banking domain

Job Description

This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that 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 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 - 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.

Education

• Minimally a BA degree within an engineering and/or computer science discipline