Job Title: Location: Toronto, ON - Hybrid (4 Days WFO) Duration: 06-12 Months Hourly Pay Rate: C$49 INC Job Description: We are seeking an experienced Senior Big Data Developer to join the Data Engineering team.

You will design, build, and optimize scalable data pipelines and infrastructure to support enterprise data analytics and business intelligence initiatives.

Required Skills & Qualifications 5 years of hands-on experience with big data technologies (Hadoop, Spark, Hive) Advanced proficiency with Snowflake platform and data modeling Solid 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 Skills & 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 Day-to-Day 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 Open

Shift (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 For immediate consideration please click APPLY to begin the screening process with Alex.

📌 Big Data Developer(Snowflake/Hadoop/Scala/Spark/Hive/AWS) (Toronto)
🏢 Artech
📍 Toronto