Big Data Developer

• Role: Big Data Developer (Snowflake/Hadoop/Scala/Spark/Hive/AWS)
• Location: Toronto, ON - Hybrid (4 Days WFO)
• Hiring Mode: Contract (12 months + Possible Extension)

Pay: CAD 50-55/Hr.

Role Descriptions:

• We are seeking an experienced Senior Big Data Developer to join our Banking Client's Data Engineering team.
• You will design, build, and optimize scalable data pipelines and infrastructure to support our enterprise data analytics and business intelligence initiatives.

• Key Responsibilities
• Design and develop robust ETL/ELT pipelines using Spark, Hive, and Hadoop for large-scale data processing
• Architect and maintain Snowflake data warehouse solutions, including schema design and optimization
• Develop and manage infrastructure-as-code solutions using AWS services (S3, Glue, EMR, RDS)Build and deploy containerized applications using Docker/Kubernetes and OpenShift (OCP4)Implement CI/CD pipelines and version control best practices using Git
• Collaborate with data scientists and analytics teams to ensure data quality and accessibility
• Mentor junior team members and contribute to technical documentation
• Leverage Gen AI tools to enhance code quality and development efficiency

• Required Qualifications
• 5+ years of hands-on experience with big data technologies (Hadoop, Spark, Hive)
• Advanced proficiency with Snowflake platform and data modeling
• Strong SQL expertise and database design knowledge
• Proven experience with AWS cloud services
• Programming experience in Scala, Python, or Java
• Knowledge of SCM, infrastructure-as-code, and CI/CD pipeline implementation
• Excellent problem-solving, communication, and self-directed work ethic

• Preferred Qualifications
• Experience with orchestration tools (Apache Airflow)
• ETL tool expertise (Informatica, Talend)
• API development experience
• Containerization and Kubernetes expertise
• Scripting proficiency (Shell, Python)
• Understanding of Gen AI for code generation

• What We Offer
• Opportunities for professional growth and technical leadership
• Collaborative, innovative work environment
• Exposure to cutting-edge data technologies