Open Systems Technologies • Montreal, Montreal (administrative region), CA
Il y a plus de 30 jours
Type de contrat
Temps plein
Description de poste
Location : Montreal – Hybrid – 3 days / week
Responsibilities
Collaborating with cross‑functional teams to understand data requirements, and design efficient, scalable, and reliable ETL processes using Python and Data Bricks.
Developing and deploying ETL jobs that extract data from various sources, transforming it to meet business needs.
Taking ownership of the end‑to‑end engineering lifecycle, including data extraction, cleansing, transformation, and loading, ensuring accuracy and consistency.
Creating and managing data pipelines, ensuring proper error handling, monitoring and performance optimizations.
Working in an agile environment, participating in sprint planning, daily stand‑ups, and retrospectives.
Conducting code reviews, providing constructive feedback, and enforcing coding standards to maintain a high quality.
Developing and maintaining tooling and automation scripts to streamline repetitive tasks.
Implementing unit, integration, and other testing methodologies to ensure the reliability of the ETL processes.
Utilizing REST APIs and other integration techniques to connect various data sources.
Maintaining documentation, including data flow diagrams, technical specifications, and processes.
Must Have
Proficiency in Python programming, including experience in writing efficient and maintainable code.
Hands‑on experience with cloud services, especially Data Bricks, for building and managing scalable data pipelines.
Proficiency in working with Snowflake or similar cloud‑based data warehousing solutions.
Solid understanding of ETL principles, data modelling, data warehousing concepts, and data integration best practices.
Familiarity with agile methodologies and the ability to work collaboratively in a fast‑paced, dynamic environment.
Experience with code versioning tools (e.g., Git).
Meticulous attention to detail and a passion for problem solving.
Knowledge of Linux operating systems; familiarity with REST APIs and integration techniques.
Nice to Have
Familiarity with data visualization tools and libraries (e.g., Power BI).
Background in database administration or performance tuning.
Familiarity with data orchestration tools, such as Apache Airflow.
Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing.
Seniority Level
Mid‑Senior level
Employment Type
Contract
Job Function
Information Technology
Banking, Financial Services, and Capital Markets
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