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Senior Data Engineer

1 month ago

Montréal QC, Canada The Aldo Group Inc. Full time

The ALDO Group is committed to diversity and inclusion, not only now, but for the long term. We strongly encourage people who are Aboriginal, racialized, have disabilities, come from gender and sexually diverse communities and/or have intersectional identities to apply for employment with us. Summer Fridays (because Summer is for fun)
Flex schedules and telecommuting
The Aldo Group, a fashion industry leader based in Montreal, is renowned for its commitment to quality, sustainability, and innovation. Operating popular brands such as ALDO, Call It Spring, and Globo, Aldo Group combines trend-setting designs with a significant digital presence, aiming for excellence in customer experience and ecological responsibility.
We are seeking a Senior Data Engineer with a robust engineering background and extensive experience in AWS services to enhance our data capabilities. This role is pivotal in analyzing, designing, and implementing data solutions that support strategic decisions and innovation across our brands.
Design, develop, and optimize data pipelines using PySpark, ensuring scalability and efficiency.
Leverage AWS services (Glue, DataBrew, S3, StepFunctions, Lambda, DataZone, Athena) for comprehensive data processing and analytics solutions.
Implement robust data validation and quality assurance processes to maintain high data integrity.
Collaborate effectively within an agile product environment, ensuring dynamic and successful project outcomes.
Engage in collaborative projects with data architects, engineers, analysts, scientists, product owners, and scrum masters to deliver holistic data & AI products.
Participate in academic collaborations, particularly with McGill University, to drive innovation and knowledge exchange.
Work closely with industry partners to align our data strategy with current trends and best practices.
Strong proficiency in SQL, data analysis, and PySpark.
Demonstrated ability to translate business needs into technical solutions with a focus on data integrity and quality.
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
A minimum of 5 years of experience in data engineering, with a strong foundation in data analysis and engineering principles.
Familiarity with the Retail, Fashion & Wholesale sector, ERP systems (SAP ECC, SAP S4 Hana, SAP CDS Views), and Supply Chain Management.
Experience working in agile product environments and collaborating on academic and industry projects.
Assets:
~ Candidates with a track record of contributing to data architecture and strategy within agile environments will be given special consideration.

Flexible remote work options are available, with at least two days per week required in the Montreal office to foster collaboration and team synergy.
Present in more than 100 countries , the ALDO Group has established itself with strong brands:
Job Title: Senior Data Engineer
Department: Information Technology
The ALDO Group is committed to diversity and inclusion, not only now, but for the long term. We strongly encourage people who are Aboriginal, racialized, have disabilities, come from gender and sexually diverse communities and/or have intersectional identities to apply for employment with us. Summer Fridays (because Summer is for fun)
Flex schedules and telecommuting
The Aldo Group, a fashion industry leader based in Montreal, is renowned for its commitment to quality, sustainability, and innovation. Operating popular brands such as ALDO, Call It Spring, and Globo, Aldo Group combines trend-setting designs with a significant digital presence, aiming for excellence in customer experience and ecological responsibility.
We are seeking a Senior Data Engineer with a robust engineering background and extensive experience in AWS services to enhance our data capabilities. This role is pivotal in analyzing, designing, and implementing data solutions that support strategic decisions and innovation across our brands.
Design, develop, and optimize data pipelines using PySpark, ensuring scalability and efficiency.
Leverage AWS services (Glue, DataBrew, S3, StepFunctions, Lambda, DataZone, Athena) for comprehensive data processing and analytics solutions.
Implement robust data validation and quality assurance processes to maintain high data integrity.
Collaborate effectively within an agile product environment, ensuring dynamic and successful project outcomes.
Engage in collaborative projects with data architects, engineers, analysts, scientists, product owners, and scrum masters to deliver holistic data & AI products.
Participate in academic collaborations, particularly with McGill University, to drive innovation and knowledge exchange.
Work closely with industry partners to align our data strategy with current trends and best practices.
Strong proficiency in SQL, data analysis, and PySpark.
Demonstrated ability to translate business needs into technical solutions with a focus on data integrity and quality.
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
A minimum of 5 years of experience in data engineering, with a strong foundation in data analysis and engineering principles.
Familiarity with the Retail, Fashion & Wholesale sector, ERP systems (SAP ECC, SAP S4 Hana, SAP CDS Views), and Supply Chain Management.
Experience working in agile product environments and collaborating on academic and industry projects.
Assets:
~ Candidates with a track record of contributing to data architecture and strategy within agile environments will be given special consideration.

Flexible remote work options are available, with at least two days per week required in the Montreal office to foster collaboration and team synergy.
Present in more than 100 countries , the ALDO Group has established itself with strong brands:
What makes our culture so one of a kind is our people’s passion for innovation, excellence, craftsmanship, entrepreneurship and diversity, as well as their empathy and friendliness. Strong proficiency in SQL, data analysis, and PySpark.
Demonstrated ability to translate business needs into technical solutions with a focus on data integrity and quality.
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
A minimum of 5 years of experience in data engineering, with a strong foundation in data analysis and engineering principles.
Familiarity with the Retail, Fashion & Wholesale sector, ERP systems (SAP ECC, SAP S4 Hana, SAP CDS Views), and Supply Chain Management.
Experience working in agile product environments and collaborating on academic and industry projects.
Assets:
~ Candidates with a track record of contributing to data architecture and strategy within agile environments will be given special consideration.

Flexible remote work options are available, with at least two days per week required in the Montreal office to foster collaboration and team synergy.

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