AWS Data Engineer
Posted Updated
Location: Toronto, ON Hybrid
Contract: Long Term | Experience: 8+ Years
Job Summary
Seeking an experienced
AWS Data Engineer
to build and support scalable data pipelines and cloud data platforms for banking and financial services applications. Key Responsibilities
Build data processing solutions using
Python, PySpark, and SQL . Work with
Redshift, Athena, and EMR
for data storage and analytics. Perform data transformation, validation, reconciliation, and quality checks. Optimize data pipelines and troubleshoot production issues. Implement CI/CD and infrastructure automation using
Git, Jenkins, Terraform/CloudFormation . Collaborate with data architects, developers, and business teams. Follow banking security, compliance, and data governance standards. Must-Have Skills
AWS | S3 | Glue | Redshift | Athena | EMR | Lambda | Python | PySpark | SQL | ETL/ELT | Data Warehousing | Git | CI/CD Preferred
Kafka/Kinesis, Snowflake, Databricks, Airflow/MWAA, Terraform . Experience with financial, customer, transaction, or regulatory data.
Seeking an experienced
AWS Data Engineer
to build and support scalable data pipelines and cloud data platforms for banking and financial services applications. Key Responsibilities
Build data processing solutions using
Python, PySpark, and SQL . Work with
Redshift, Athena, and EMR
for data storage and analytics. Perform data transformation, validation, reconciliation, and quality checks. Optimize data pipelines and troubleshoot production issues. Implement CI/CD and infrastructure automation using
Git, Jenkins, Terraform/CloudFormation . Collaborate with data architects, developers, and business teams. Follow banking security, compliance, and data governance standards. Must-Have Skills
AWS | S3 | Glue | Redshift | Athena | EMR | Lambda | Python | PySpark | SQL | ETL/ELT | Data Warehousing | Git | CI/CD Preferred
Kafka/Kinesis, Snowflake, Databricks, Airflow/MWAA, Terraform . Experience with financial, customer, transaction, or regulatory data.