Data EngineerLancesoft • Montreal, QC, CA

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Data Engineer

Lancesoft • Montreal, QC, CA

Il y a plus de 30 jours

Type de contrat

Temps plein

Quick Apply

Description de poste

Job Title : Data Engineer

Location : Montreal (Day 1 onboarding onsite / in office presence 3x week)

Duration- 12 months (extendable)

Job description : We provide :

A robust career development path offering numerous opportunities for growth, learning and advancement.
A supportive, learning-oriented environment in collaboration with development within fast-feedback agile delivery squads
Collaborative work within cross-functional squads, following agile practices and utilizing both cloud and on-premises technology to deliver innovative solutions.
Encouragement for every developer to contribute their unique perspective - your ideas will be valued, and you’ll receive full support in their implementation!
Participation in an international environment with various multidisciplinary squads, working alongside customers, product experts, and SREs.
A dynamic environment where cutting-edge technology propels us.
State-of-the-art offices located in the City Centre designed to enhance collaboration.

Role Responsibilities

You will be responsible for :

Collaborating with cross-functional teams to understand data requirements, and design efficient, scalable, and reliable ETL processes using Python and DataBricks

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 manage 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, provide constructive feedback, and enforce coding standards to maintain a high quality.

Developing and maintain 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.

You have :

Proficiency in Python programming , including experience in writing efficient and maintainable code.

Hands-on experience with cloud services, especially DataBricks , 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

You might also 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

/ /

EEO Employer

Minorities / Females / Disabled / Veterans / Gender Identity / Sexual Orientation

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