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It - Data Engineer
Company | The Kraft Heinz Company |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Food and Beverage Services,Food and Beverage Manufacturing,Manufacturing |
Expires | 2023-10-13 |
Posted at | 7 months ago |
General information
- Employee Assistance Program (EAP) for mental health support
- Benefits begin immediately upon hire. Competitive and flexible medical and dental plans-basic and enhanced options to choose from (drug and non-drug fertility coverage- prescription- vision- paramedical- dental and separate category of mental health support). Variety of spending accounts to allocate leftover flex credits
- Award-winning Ownerversity learning & development resource library
- Business Resource Groups (BRGs)
- Learn more about life #hereatKraftHeinz on our YouTube channel!
- Free unlimited access to virtual family health care
- Retirement Savings plan Employee contribution of 3% with optional 1 or 2% and Kraft Heinz required contribution of 5% with 150% match on optional employee contribution
- Lead the development and training of all project data engineering resources
- Leverages monitoring tools/processes to ensure platform stability and operational SLAs
- Acts as a data owner and functional data SME for the assigned area
- Enforces best practices for software design- architecture- and implementation
- Contribute to generic frameworks for data ingestion- data processing- and data integrations
- Extends DevOps capabilities for deploying data solutions
- Supports creation and adoption of data assets for the organization
- Works with senior executives to address or prevent common pitfalls
- Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
- I have hands-on experience with DevOps and CI/CD processes
- I have strong design and software programming development (core Python – not just Pyspark or adhoc scripting)
- I have experience building APIs (experience with GraphQL is a plus)
- I have automated code testing experience
- I have experience with analytical tools & services (preferably dbt- Snowflake/BigQuery- Tableau/PowerBI)
- I have strong SQL development and analytical skills
- I have experience with cloud services within Azure- AWS- or GCP platforms
- I have experience in role delivering and supporting software and data engineering capabilities.
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