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Artech LLC
Cloud Data EngineerArtech LLC • Toronto, ON
Cloud Data Engineer

Cloud Data Engineer

Artech LLC • Toronto, ON
Il y a 5 jours
Type de contrat
  • Temporaire
Description de poste

Role: Cloud Data Engineer
Location: Toronto, Ontario
Duration: 06-12 Months

Pay Range: C$45 INC

We are seeking a highly skilled Cloud Data Engineer to join our dynamic team for a 12-month contract. This role will be based in our Toronto office with a hybrid work model, requiring 2 days a week in the office. The ideal candidate will have extensive experience in data warehousing and a strong background in the banking and financial domain.

Required Skills & Qualifications

  • Strong technical knowledge in data warehousing
  • Minimum 8 years of experience in the banking and financial domain
  • Experience with Amazon S3 (Data Lake), AWS Glue (ETL), AWS Lambda, Amazon Redshift, AWS Step Functions, AWS IAM & CloudWatch, and IBM Netezza

Preferred Skills & Qualifications

  • AWS Certifications (Solutions Architect / Data Analytics)
  • Experience with Airflow or Managed Workflows for Apache Airflow (MWAA)
  • Exposure to Snowflake, Databricks, or Delta Lake

Day-to-Day Responsibilities

  • Design, develop, and maintain scalable data pipelines and workflows on AWS
  • Build and manage data lakes and data warehouses (e.g., S3, Redshift)
  • Develop ETL/ELT processes using tools like AWS Glue, Lambda, or Spark
  • Optimize data ingestion, transformation, and loading processes
  • Work with stakeholders to understand and deliver data requirements
  • Ensure data quality, governance, and security compliance
  • Monitor and troubleshoot data pipelines and workflows
  • Automate deployments using CI/CD pipelines
  • Improve performance, cost optimization, and scalability
  • Coordinate with clients, data users, and key stakeholders to understand feature requirements and merge them to create reusable design patterns
  • Data onboarding using the developed frameworks
  • Understand and make sense of available code in Netezza to design the best way to implement its current features in AWS Data Lake
  • Unit test code and aid with QA/SIT/Perf testing
  • Migration to production environment
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Cloud Data Engineer • Toronto, ON

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