Data Engineer

Rivago Infotech Inc; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

Rivago Infotech Inc in Toronto is seeking a Cloud Data Engineer to design, build, and maintain scalable data pipelines on Azure cloud platforms. The role involves processing large datasets, optimizing workflows, and ensuring secure storage and efficient data processing.

You will develop Spark jobs in Databricks, implement Delta Lake and data modeling, and collaborate across teams to deliver enterprise data solutions. Strong Python/SQL skills and Cloud data warehouse experience are essential.

Qualifications

• 5+ years Python coding experience.
• 5+ years SQL Server based development on large datasets.
• 5+ years with ETL pipelines using Databricks PySpark.
• Experience with cloud data warehouses (Synapse, BigQuery, Redshift, Snowflake).
• Data warehousing modelling and dimensional design.
• Experience leading enterprise Cloud Data Platform migrations.
• Cloud architecture and data governance knowledge.
• Familiar with Airflow is a plus.

Responsibilities

• Build and optimize data pipelines for ingestion, transformation and loading with quality data.
• Design, develop and deploy Spark programs in Databricks to process large data volumes.
• Monitor and optimize Databricks jobs for performance and scalability.
• Implement data governance, security and best practices in the cloud environment.
• Collaborate with teams on Enterprise Data Warehouse migrations.

Skills

Python

SQL Server

Databricks PySpark

Cloud Data Warehouses

Tools

Databricks

Azure

Delta Lake

Airflow

Synapse

Job description

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.