About the roleAs a Data Developer with 2+ years of experience, you will be responsible for designing and implementing robust data pipelines, optimizing data workflows, and supporting analytics initiatives. You will work with AWS and GCP cloud services, integrate with CRM and marketing platforms, and enable data‑driven decision‐making through visualization tools like Google Looker and Tableau.What you’ll doKey ResponsibilitiesData Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines in GCP & AWS using various services including Data Flow, Composer, AWS Data Pipelines, 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: Implement 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.QualificationsRequired QualificationsCloud 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 with 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 QualificationsExperience 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.BenefitsAnnual company shutdown during the holiday season.Frequent studio‑wide social events.Budget and time allotted for professional development.Commitment to wellbeing and work life balance.Competitive health and dental perks package.Group RRSP Matching program.Salary Range$60-70K (subject to experience level)Diversity and InclusionSome of our best ideas emerge when different perspectives collide. That’s just one of the reasons we’re committed to building and retaining a team that reflects diverse backgrounds, identities, experiences, and abilities. Through our core values, we’re also fostering a culture where everyone feels heard, included and comfortable being themselves.#J-18808-Ljbffr

📌 Data Developer - Toronto - C$60,000 - C$70,000 A Year
🏢 Mod Op
📍 Toronto