Role; AWS Data Engineer

Location: Toronto ON , Hybrid

Experience 12+ years

Required Skills

- 12+ years of experience in Data Engineering.
- Strong hands-on experience with:
- AWS Glue (PySpark/Python)
- Amazon S3
- AWS Lambda
- Amazon Redshift
- Amazon DynamoDB
- Amazon Kinesis and/or Apache Kafka
- Apache Airflow
- SQL
- Python
- Strong understanding of ETL/ELT development.
- Experience working with OLTP and OLAP databases.
- Hands-on experience with Infrastructure as Code (AWS CDK or Terraform).
- Experience building and supporting production-grade AWS data platforms.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration skills.

Preferred Qualifications

- Experience in the Banking or Financial Services domain.
- Experience with real-time event-driven data architectures.




- Familiarity with CI/CD pipelines and DevOps practices.
- Knowledge of data governance, security, and AWS best practices.
- AWS Certifications are an asset.

Ideal Candidate

- Robust hands-on AWS Data Engineer with proven technical expertise.
- Individual contributor capable of designing and developing scalable cloud data solutions.
- Experience delivering enterprise-grade AWS data platforms in production environments.
- Able to work independently while collaborating effectively with cross-functional teams.

Lakshmi Bhavani

Apptoza Inc.

Phone: (phone hidden) Ext 4640

Phone: (phone hidden) Ext 1105

Mail id : [email protected]

Linkedin : linkedin.com/in/lakshmi-lucky-02629823a

📌 AWS Data Engineer (Toronto)
🏢 apptoza
📍 Toronto