Data Engineer

Rivago Infotech Inc; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Rivago Infotech Inc. seeks a Senior Data Engineer with a strong background in Python, PySpark, SQL, and data warehousing for enterprise systems.

You will design and optimize data pipelines, deploy Spark programs in Databricks, and ensure data quality across diverse sources while collaborating with business users and analysts.

Qualifications

• Senior data engineer with Python, PySpark, SQL and data warehousing for enterprise systems.
• Comfortable working with business users and business analysts.
• 5+ years of SQL Server-based development for large datasets.
• ETL pipelines developed and deployed using Databricks PySpark.

Responsibilities

• Build and optimize data pipelines for ingestion, transformation and loading with data quality.
• Design, develop and deploy Spark programs in Databricks to process large data volumes.
• Implement Delta Lake, DW design, data modeling and cloud data warehousing.
• Develop in Python and SQL; implement dimensional models (OLAP/OLTP).
• Monitor and troubleshoot Databricks jobs for performance and scalability.

Skills

SQL

Python

Pyspark

Data warehousing

Databricks

Delta Lake

BigQuery

Redshift

Snowflake

Synapse

ETL pipelines

Data Modeling

Cloud Data Platform migration

Education

BA degree in engineering or computer science

Tools

Databricks

Delta Lake

SQL Server

Synapse

BigQuery

Redshift

Snowflake

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