Senior Data Engineer

at  Aldo Group

Job Title: Senior Data Engineer
Department: Information Technology
Looking to unbox your full potential? STEP UP with the ALDO GROUP.

STEP UP EXPERIENCE

• Recognition programs to showcase your talent!
• To be part of a company that takes a stand on issues affecting people, the environment, and our partners
• Summer Fridays (because Summer is for fun)
• Purchase discount on merchandise sold in all our divisions.
• Family & Friends events with discounts on our products
• Subsidized cafeteria & daycare
• Subsidized public transportation and free parking
• On-campus gym with access to a trainer
• Flex schedules and telecommuting
• Sick days
• Attractive total compensation!

COMPANY DESCRIPTION:

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.

JOB SUMMARY:

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.

REQUIRED SKILLS:

• Strong proficiency in SQL, data analysis, and PySpark.
• Extensive experience with AWS services, including S3, DynamoDB, DataZone, Glue, QuickSight, Lambda, DataBrew, and StepFunctions.
• Demonstrated ability to translate business needs into technical solutions with a focus on data integrity and quality.
• Excellent communication skills and a proven ability to work effectively in a team.

PREFERRED QUALIFICATIONS:

• 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.

WANT TO KNOW MORE ABOUT US? HERE ARE SOME FUN FACTS.

Present in more than 100 countries, the ALDO Group has established itself with strong brands:
ALDO/ALDO Accessories, Call it Spring and Globo. Guided every day by its purpose “A journey to create a world of love, trust and belonging”, the organization is simply unique. 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. In addition, our associates all have an insatiable curiosity!
Job Requirements:

REQUIRED SKILLS:

• Strong proficiency in SQL, data analysis, and PySpark.
• Extensive experience with AWS services, including S3, DynamoDB, DataZone, Glue, QuickSight, Lambda, DataBrew, and StepFunctions.
• Demonstrated ability to translate business needs into technical solutions with a focus on data integrity and quality.
• Excellent communication skills and a proven ability to work effectively in a team.

PREFERRED QUALIFICATIONS:

• 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.

EXPERIENCE

Not Specified

RESPONSIBILITIES:

• 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.