Senior AWS Data Engineer - SQL, OLAP, OLTP, ETL , PYTHON

Job Title: Senior AWS Data Engineer Location: Toronto, ON Work Model: Hybrid – 3 Days/Week Onsite Client: Banking Labs Duration: 12-Month Contract (Extension Possible) Job Summary AWS, SQL, OLAP, OLTP, ETL , PYTHON 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 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 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.

Design, develop, and maintain scalable enterprise data pipelines and serverless processing solutions on AWS. Optimize data warehouse and real-time streaming architectures while supporting production-grade cloud data solutions in a banking environment.

Requires over 12 years of data engineering experience with deep expertise in AWS services, Python, and SQL. Candidates must be proficient in Infrastructure as Code and experienced in building production-grade data platforms.

• SQLSouhaitée
• TerraformSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• AWS Glue
• PySpark
• Python
• Amazon S3
• AWS Lambda
• Amazon Redshift
• Amazon DynamoDB
• Amazon Kinesis
• Apache Kafka
• Apache Airflow
• SQL
• ETL/ELT
• OLTP
• OLAP
• AWS CDK
• Terraform

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting

Expérience minimale

12+ ans

Postuler avant le

20 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

3 jours par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte