*Full time, permanent position*
Key Responsibilities:
1. 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.
Skills requirements:
Education Required: (Type of degree and acceptable field(s) of study): Bachelor’s degree with 8+ years of experience.
1. 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.
2. Hands-on experience with developing and deploying production data pipelines using orchestration tools like GCP Cloud Composer/Airflow, CA Scheduler, Informatica
3. Strong verbal and written development, and troubleshooting large-scale, production-grade distributed systems on GCP, selecting the appropriate tools to Skills.
4. Proven experience and track record as a Data Architect with expertise in GBQ, Ascend, Collibra, Python, AIML, and data patterns.
Must Have:
- Informatica, GCP, Airflow, Data Modelling, Python, GBQ, SQL
Preference Given to:
- Collibra, Ascend, Vertex AI, DBT, Docker, Gitlab, ML Modelling, Oracle, DB2 / Nice to Have: Kubernetes, SAFe Certification
5. Excellent problem-solving abilities and attention to detail. Solid understanding of data modeling, ETL processes, and data warehousing concepts.
6. Exceptional communication skill with ability to describe complex concepts to a technical audience using UML based techniques.
7. Strong programming skills in Python, SQL, Airflow
Language of work: English
Wage: C$ 138,000 annual base salary. Performance based bonus may be available at target of 15% of base salary
Benefits Package: 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 of work: Mattel Canada office. 6155 Freemont Blvd. Mississauga, Ontario L5R 3W2
Contact Info:
Aditya P Mishra
Telephone: 3104801070
Email: GlobalMobility@Mattel.com
Mailing address: 6155 Freemont Blvd, Mississauga, Ontario, L5R 3W2
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