Original job description
Archived listing. The details below describe a past opening.
AWS Data Engineer – Data Warehouse & Netezza Migration
Location: Toronto; Hybrid 2 days a week in office
“MUST HAVE” skills and experience for this requirement.
Amazon S3 (Data Lake)
AWS Glue (ETL)
AWS Lambda
Amazon Redshift
AWS Step Functions
AWS IAM & CloudWatch
IBM Netezza
Role and Responsibilities
Resource have strong data warehouse technical knowledge.
Resource have knowledge in Bank and financial domain (Minimum 5+ 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
Good 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
