- 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
Positive 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
📌 AWS Data Engineer – Data Warehouse & Netezza Migration (Toronto)
🏢 Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
📍 Toronto
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