Data Engineer building data integration pipelines for data lakes and warehouses. Collaborating with stakeholders to meet business requirements in a leading publishing company.
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Principal Data Engineer
Posted via LinkedIn Recruiter (not a company profile)
Posted yesterday
About the role
- Principal Data Engineer with 10+ years experience, strong AWS skills. Design large-scale data platforms in hybrid Toronto role.
Responsibilities
- Principal Data Engineer role requiring design of large-scale, production-grade data platforms. Expertise with core AWS data services including Amazon S3, Glue, Redshift, EMR Lambda, Step Functions, Kinesis/MSK. Strong programming skills in Python, Scala, or Java. Deep experience with ETL/ELT frameworks and data pipeline orchestration tools (Airflow, AWS-native equivalents). Knowledge of data modeling, distributed systems, performance tuning, CI/CD, and Infrastructure as Code (Terraform, CDK, CloudFormation). Strong communication skills for translating technical concepts.
Requirements
- 10+ years of experience in data engineering or software engineering, with strong & dedicated hands-on AWS experience of 4-5 years. Proven experience designing large-scale, production-grade data platforms. Expertise with core AWS data services: Amazon S3, Glue, Redshift, EMR Lambda, Step Functions, Kinesis/MSK. Strong programming skills in Python, Scala, or Java. Deep experience with ETL/ELT frameworks and data pipeline orchestration tools (Airflow, AWS-native equivalents). Solid knowledge of data modeling, distributed systems, and performance tuning. Experience working in CI/CD, Infrastructure as Code (Terraform, CDK, CloudFormation). Strong communication skills with ability to translate technical concepts for non-technical stakeholders. Valid Canadian visa required.
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