Description: Role: Cloud Data Engineer Location: Toronto; Hybrid 2 days a week in office Max BR: *** MUST HAVE skills and experience for this requirement.
Watch IBM Netezza Role and Responsibilities Resource have strong data warehouse technical knowledge.
Resource have knowledge in Bank and financial domain (Minimum 12+ years of experience).
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 Strong solution Knowledge in AWS Cloud and hands on experience with ETL process (like Kafka message processing, batch interface data injection and other business layer process) 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 needed merge them to create reusable design patterns Data onboarding using the developed frameworks Understand and make sense of available code in Netezza to design a 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 Valuable to have AWS Certifications (Solutions Architect / Data Analytics) Experience with Airflow (or Managed Workflows for Apache Airflow - MWAA) Exposure to Snowflake, Databricks, or Delta Lake Custom Fields: Name: Child Value: IS-BFSI-Canada-1-Group3 Name: Requisition ID Value: 10963330 Name: Work Location CDF Value: ~Toronto 24th Floor~TCCI Canada Corporate~ Name: Type of Asset Value: None Name: Assets Value: None Name: Parent Value: IS-BFSI-Canada-1-Parent Name: Work Assignment Location Value: Hybrid Name: Business Vertical Value: CL-BFSI Americas 2
📌 Information Technology_CAN - CAN_Data Scientist (Toronto)
🏢 Artech
📍 Toronto
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