Senior Data Engineer

Job Title: Senior Data Engineer Location: Montreal, QC (Hybrid - 4x Onsite a week) Employment Type: Contract Opportunity Interview Type: Face 2 Face (Onsite Interview Only) Job Description 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’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

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 practices and 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 code quality 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 sourcing from vendors