ALDO Group

Senior Data Engineer

Job description

Job Title: Senior Data Engineer

Department: Information Technology

Looking to unbox your full potential? STEP UP with the ALDO GROUP.

WE'RE ON A JOURNEY TO CREATE A WORLD OF LOVE, CONFIDENCE AND BELONGING

The ALDO Group has been on this journey for over 50 years. We believe that our passionate associates are at the heart of our success, and that with them we will lead into our future with kindness.

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. At ALDO Group, we will always strive to take steps to create a diverse and inclusive work environment that promotes equal opportunity and accountability.#WeAreALDO

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!

YOUR ROLE

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.

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.

DO YOU HAVE THE PROFILE WE'RE LOOKING FOR?

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.

Assets:

  • Candidates with a track record of contributing to data architecture and strategy within agile environments will be given special consideration.

Working Conditions:

  • Flexible remote work options are available, with at least two days per week required in the Montreal office to foster collaboration and team synergy.
  • Candidates must be able to operate within the Montreal time zone.

Don't wait any longer: STEP UP with us. We want to meet you!

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!

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.

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.

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.

Assets:

  • Candidates with a track record of contributing to data architecture and strategy within agile environments will be given special consideration.

Working Conditions:

  • Flexible remote work options are available, with at least two days per week required in the Montreal office to foster collaboration and team synergy.
  • Candidates must be able to operate within the Montreal time zone.

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