Job Description
*Full-time, permanent position*
Key Responsibilities:
- Data Architecture, Engineering, and Machine Learning:
- Support existing Informatica PC and IICS flows and retransformation on PowerCenter and IICS
- Establish and encode Patterns on GCP and associated data infrastructure for ETL/ELT, AIML
- Develop data transformation and integration strategies for seamless data flow between sources and destinations.
- Develop efficient and secure data transformation pipelines for analytics and
- Maintain metadata management processes for effective data governance.
- machine learning.
- Architect, design, and optimize data solutions using GBQ, Ascend, Collibra DQ/DG, Vertex AI, and Python.
2. Collaboration and Knowledge Sharing:
- Work closely with cross-functional teams, including data engineers, analysts, and stakeholders, to deliver high-impact data solutions.
- Provide mentorship and guidance to team members, fostering continuous learning and skill development.
Qualifications
Education Required: (Type of degree and acceptable field(s) of study): Bachelor’s degree with 8+ years of experience.
- Skilled at data warehousing/data lake architecture implementations for analytical reporting translating real world business needs at scale for data lake and warehousing needs. Competence in debugging, refactoring, and optimizing code, along with the ability to determine when and how to automate tasks with experience in being able to operate in an agile environment for delivery of data products.
- Hands-on experience with developing and deploying production data pipelines using orchestration tools like GCP Cloud Composer/Airflow, CA Scheduler, Informatica
- Strong verbal and written development, and troubleshooting large-scale, production-grade distributed systems on GCP, selecting the appropriate tools to Skills.
- Must Have
- Informatica, GCP, Airflow, Data Modeling, Python, GBQ, SQL
- Preference Given to
- Collibra, Ascend, Vertex AI, DBT, Docker, Gitlab, ML Modelling, Oracle, DB2
- Nice To Have
- Kubernetes, SAFe Certification
- Must Have
- Proven experience and track record as a Data Architect with expertise in GBQ, Ascend, Collibra, Python, AIML, and data patterns.
- Excellent problem-solving abilities and attention to detail. Solid understanding of data modeling, ETL processes, and data warehousing concepts.
- Exceptional communication skill with ability to describe complex concepts to a technical audience using UML based techniques.
- Strong programming skills in Python, SQL, Airflow
Language of work: English
Salary: C$ 138,000 annual base salary. Performance based bonus may be available at target of 15% of base salary.
Benefits provided as per Company Group Insurance Plan. This includes:
Life Insurance
Short Term Disability
Long Term Disability
Mattel Canada offers 15 days vacation, public holidays per the Employment Standards Act, private coverage for prescriptions, paramedical care, and dental, and company sponsored retirement plan.
Location: Mattel Canada office in Mississauga Ontario, Canada. 6155 Freemont Blvd, Mississauga, Ontario, L5R 3W2
Contact:
Aditya P Mishra
Telephone: 3104801070
Email: [email protected]
Mailing address: 6155 Freemont Blvd, Mississauga, Ontario, L5R 3W2
Top Skills
What We Do
We are a purpose driven company with a mission to create innovative products and experiences that inspire, entertain, and develop children through play.
We treat play as if the future depends on it — because it does. Play is our language, and we speak to our consumers authentically by representing the world as they see and imagine it.
Mattel is a leading global toy company and owner of one of the strongest catalogs of children’s and family entertainment franchises in the world. We engage consumers through our portfolio of iconic brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Monster High and MEGA, as well as other popular intellectual properties that we own or license in partnership with global entertainment companies.
Our offerings include film and television content, gaming and digital experiences, music, and live events. We operate in more than 35 locations and our products are sold in more than 150 countries in collaboration with the world’s leading retail and ecommerce companies.
Mattel is recognized for the second year in a row as a Great Place to Work™ and as one of Fast Company’s Best Workplaces for Innovators in 2022.
