At a Glance
- Tasks: Design and develop scalable data pipelines using AWS services and optimize ETL workflows.
- Company: Leading banking institution focused on innovative data solutions.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative environment with potential for contract extension.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of data engineering.
- Qualifications: 12+ years of data engineering experience with strong AWS skills.
The predicted salary is between 123750 - 151250 $ per year.
Duration: 12-Month Contract (Extension Possible)
We are seeking a Senior AWS Data Engineer with 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be a strong individual contributor with deep expertise in AWS data engineering, ETL development, and real-time data streaming technologies. This role requires someone who can quickly understand business requirements, build scalable data pipelines, optimize data processing, and support production-grade cloud data solutions in a fast-paced banking environment.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using AWS services.
- Build and optimize ETL/ELT workflows using AWS Glue (PySpark/Python).
- Develop serverless data processing solutions using AWS Lambda.
- Design and manage data lakes using Amazon S3.
- Develop and optimize data warehouse solutions using Amazon Redshift.
- Work with Amazon DynamoDB and other AWS data services for high-performance applications.
- Build and support real-time data streaming solutions using Amazon Kinesis and/or Apache Kafka.
- Develop, schedule, and monitor workflows using Apache Airflow.
- Write complex SQL queries and optimize database performance across OLTP and OLAP systems.
- Implement Infrastructure as Code (IaC) using AWS CDK or Terraform.
- Monitor, troubleshoot, and support production data pipelines.
- Collaborate with cross-functional teams to deliver reliable and scalable data solutions.
- Follow Agile development practices and participate in sprint planning, code reviews, and technical discussions.
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
- 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
- Strong 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.
Senior AWS Data Engineer in Toronto employer: Apptoza Inc.
Join a dynamic team in Toronto, ON, where innovation meets collaboration! As an IVR & Contact Center Solution Architect, you'll thrive in a supportive work culture that values employee growth and offers opportunities to enhance your skills in cutting-edge Salesforce technologies. Enjoy the flexibility of a hybrid work model while contributing to impactful projects that optimize customer experiences.
