Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
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AWS Data Engineer – Data Warehouse & Netezza Migration
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Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision! AWS Data Engineer – Data Warehouse & Netezza Migration
Summary
Data engineer designing and maintaining banking data pipelines on AWS (S3 data lake, Glue, Lambda, Redshift, Step Functions) and migrating legacy IBM Netezza warehouse code to an AWS data lake. Hybrid role in Toronto (2 days/week in office) requiring 5+ years in banking/financial domain.
AWS Data Engineer – Data Warehouse & Netezza Migration
Location: Toronto; Hybrid 2 days a week in office
Must-Have Skills
- Amazon S3 (Data Lake)
- AWS Glue (ETL)
- AWS Lambda
- Amazon Redshift
- AWS Step Functions
- AWS IAM & CloudWatch
- IBM Netezza
Role and Responsibilities
- Required to have strong data warehouse technical knowledge.
- Must 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