Platform Engineer
Offre en anglaisDesign, develop, and support scalable data pipelines and distributed systems within the AWS and Hadoop ecosystems. Responsible for supporting production data platforms and executing complex data migration projects.
- Hybride
- Toronto, ON
- Publié 25 août 2026
- Postuler avant le 24 sept. 2026
- 1 poste
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Résumé du poste
Job Title: Platform Engineer (AWS, Big Data, Netezza, SQL) Location: Toronto, ON Work Arrangement: Hybrid (2 days a week in office) Employment Type: Contract Duration: 06-12 Months Pay Rate: CAD 50-53/hour Incorporated Domain: BFSI Application Deadline: Aug. 30th, 2026 SKILLS REQUIRED: 10+ years of experience in Data Engineering / Big Data / Platform Engineering Hands-on experience in AWS and Hadoop ecosystems Experience in data migration projects (e.g., Hadoop to AWS, DB migrations) Strong understanding of data warehousing concepts and ETL design patterns Expertise in query optimization and performance tuning Experience supporting production data platforms Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering Strong expertise in designing, developing, and supporting scalable data pipelines and distributed systems, along with hands-on experience in Big Data ecosystem tools, AWS services, and real-time data processing. Strong experience in AWS Cloud services: EMR, EC2, S3, VPC, RDS, Redshift, AWS Glue, IAM, CloudWatch, CloudFormation, Airflow (or AWS Managed Workflows) Experience working with: Netezza (Must), SQL-based systems: SQL Server and PostgreSQL, Teradata, Redshift and ETL Tools Hands-on experience with: SSIS Programming & Scripting: SQL, Shell scripting EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.
Ce que vous ferez
Design, develop, and support scalable data pipelines and distributed systems within the AWS and Hadoop ecosystems. Responsible for supporting production data platforms and executing complex data migration projects.
Exigences
Requires over 10 years of experience in Data or Platform Engineering with mandatory expertise in Netezza and AWS services. Must be proficient in SQL, shell scripting, and various ETL tools for performance tuning and optimization.
Compétences indiquées
- SQLSouhaitée
- PostgreSQLSouhaitée
- Amazon Web ServicesSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- AWS
- Hadoop
- Netezza
- SQL
- Data Migration
- ETL Design
- Query Optimization
- EMR
- S3
- Redshift
- AWS Glue
- Airflow
- PostgreSQL
- Teradata
- SSIS
- Shell Scripting
Domaines d’emploi
- Data & Analytics
- Technology
- Engineering
- Software
- Finance & Accounting
Renseignements supplémentaires
- Expérience minimale
- 10+ ans
- Postuler avant le
- 24 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Présence au bureau
- 2 jours par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte