Hybrid Junior Data Engineer

at Mod Op

• Job title: Junior Data Engineer
• Job type: Full Time
• Experience level: Junior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Amazon Redshift, Apache, AWS, BigQuery, Cassandra, Cloud, ETL, Google Cloud Platform, NoSQL, Numpy, Pandas, Python, Scikit-Learn, Spark, SQL, Tableau
• Location requirements: Hybrid, Toronto, Canada

About the role

• Data Engineer designing and implementing robust data pipelines for an advertising agency. Collaborating on AWS and GCP cloud projects while utilizing various data tools and techniques.

Responsibilities

• Data Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines in GCP & AWS using various services including Data Flow, Composer, AWS Data Pipelines and etc
• Data Integration: Work with structured and unstructured data sources, including CRM and marketing data platforms.
• Database Management: Develop and optimize queries for SQL & NoSQL databases (Teradata, BigQuery, Cassandra, etc.).
• Data Science & ML: Implementing Models using GCP Vertex ai and utilizing Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.) for data analysis and ML model deployment.
• Data Visualization: Build and manage dashboards using Power BI, Google Looker and Tableau to provide business insights.
• Collaboration: Work closely with data analysts, marketing teams, and other stakeholders to understand business needs and implement effective data solutions.
• The position operates under a hybrid work model, requiring in-office presence two days per week, with the remaining days worked remotely.

Requirements

• Cloud Expertise: GCP or AWS (Data Engineering or ML focus) experience.
• Programming Skills: Strong proficiency in Python and experience with its data science libraries.
• Database Management: Experience with SQL (Teradata, BigQuery, etc.) and NoSQL databases.
• Data Visualization: Hands-on experience with Power BI, Google Looker and Tableau for reporting and dashboards.
• CRM & Marketing Data: Experience working with CRM, marketing platforms, and analytics tools.
• Machine Learning Knowledge: working GCP/AWS Services with ML workflows, model training, AI Models and deployment.
• Data Automation & Transformation: Knowledge with Alteryx for workflow automation and data preparation.
• Preferred Qualifications:
• Experience with data warehousing solutions (Snowflake, Redshift, etc.).
• GCP Certified focused on Data Engineering.
• Exposure to Apache Spark, Airflow, or other data orchestration tools.
• Strong understanding of data governance, security, and compliance.

Benefits

• Health and Life Insurance for employees and family, access to Vision benefits, Telemedicine services, Psychology support and others.
• On the job training and career growth opportunities.
• Access to LinkedIn courses.
• Fully remote job.
• Talented team environment, collaborative offices, fun company culture with a great balance of work and play.
• Vacations are granted by day or weeks according to employee approved request.
• Salary with yearly review and competitive benefits.
• Competitive compensation based on experience and skill set.