Data Engineering Developer QA

Position :

Data Engineering Developer with Quality Assurance

Context :

The multi-disciplinary team is composted of Data Engineers, QA, PO, Scrum Master and IT-BA.

The team uses Scrum framework.

The team is supported by Solution and Application architects and a DevOps team.

The team is in charge of building performant and cost effective data pipeline using databricks, AWS and snowflake.

The team is part of a multi-team program for the telematic, with AI Engineering and Data Science teams.

Contact us and send your resume to : Daniel Zapata

Advantages

Job posting # : 815

Job title : Data Engineering Developer with Quality Assurance

Period : 09 / 03 / 2024 - 02 / 28 / 2025

2x professionnal reference + Background check credit and criminal

Technology work tools provided

Lieu de travail / Location : Montreal, QC (2020) - Hybrid 2 jours au bureau

Responsibilities

Mandate :

Integrate a Data Engineering team that build and support data pipelines for the telematic program.

Participate in the development of new data pipelines features and support current ones.

Support the Lead QA of the team in implementing and executing the Data Quality Strategy.

Participate in the team ceremonies like the daily scrum meeting, daily DevSync, sprint planning, story refinements and sprint demo.

Participate with the team in its quest for continuous improvement and application of best practices in various area.

Qualifications

Minimum requirements :

• Bachelor’s degree in Computer Science, Software Engineering, or any equivalent combination of training and experience.
• 5+ years experience in software engineering or Data Engineering or ETL development or Quality Assurance in ETL.
• Experience in Big Data and Cloud technologies for processing large volumes of data.
• Experience in CI / CD, Application and Tests delivery automation.
• Proficiency in the Python programming language and the PySpark Framework.
• Understanding of the Quality Assurance in a big data context is a must.
• Experience and autonomy defining and developing automated test scripts for data pipelines.
• Languages spoken and written : English and French

Technologies required :

• Python (mandatory), Javascript, SQL.
• Databricks, Sparks, Sparks Streaming, Delta Lake, Delta Live.
• AWS (Lambda, S3, SQS, SNS, EC2)
• Snowflake
• Quality : Pytest, PyDeeQu, Zephir
• Other : Github, GitLab, GitLab CI, Jenkins
Nice to have :
• Databricks
• Databricks
• QA Certifications

Summary

Contact us and send your resume to : Daniel Zapata

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees.

In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary / gender non-conforming;

Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle.

We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.

ca to ensure their ability to fully participate in the interview process.