Senior Data Engineer - Jobs in Montreal, Quebec, H2M 1H8

Job Description

Role: Senior Data EngineerLocation: Montreal, Quebec (Onsite)Type: Contract Basic Qualifications

• Proven track record of a minimum of 4 years in management, in a space with strong focus on large scale data processing and instrumentation.
• Strong coding background, ideally in Java/ Python / Scala
• Strong working knowledge of engineering best practicesamp; big data ecosystem.
• Experience in at least one big data product: Databricks, Elasticsearch, Snowflake
• Experience building batch / real time data pipelines for production systems.
• Experience with Relational and Non-Relational DBs like DB2, MongoDB
• Experience with various data formats: Parquet, CSV, JSON, XML, Relational Data
• Strong familiarity with Kafka, Spark, Hadoop, Iceberg, Airflow, Data Modeling, relational databases, columnar databases
• Previous working experience in large-scale distributed systems.
• Strong familiarity with software engineering principles, including object-oriented and functional programming paradigms, design patterns, and quality code practices.
• Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders.

Desired Qualifications

• Experience with Rest based applications
• Experience with Databricks/ Delta Lake
• Experience with client reference data sources from vendors.

Who You Are

• Want to be part of cutting edge, high visibility projects and are motivated by delivering world-class solutions on an aggressive schedule
• Someone who is not intimidated by challenges; thrives under pressure; is passionate about their craft and focused on delivering exceptional results
• Enjoy learning new technologies and raise the bar on your team
• Enjoy working with technical and non-technical stakeholders for delivery of software systems
• Enjoy working with and managing junior developers

What #39;s the Role

• Collaborating and leading part of a cross-functional Agile team to create and enhance software for data ingestion and entity resolution platform
• Expertise in application, data and infrastructure architecture disciplines
• Working with large, complex data sets from a variety of sources
• Participate in the rapid development of user-driven prototypes to identify technical options and inform multiple architectural approaches
• Building efficient storage and search functions over structured and unstructured data
• Utilizing programming languages Python, Java, Scala, Relational and NoSQL databases
• Learning newer technologies for entity resolution such as Quantexa platform