Data Engineer

Location - Doowntown, Toronto Hybrid - 1 day/week Duration - 4 months (possibility of extension) Typical Day in Role: - Collaborate with stakeholders to deliver data models to address operational needs - Combine multiple data sources across all contact center platforms and applications to support advanced analytics products - Ingest massive volumes of structured and unstructured format data, model, transform, and store it in a variety of data stores - Support the Senior Data Engineer in defining data quality metrics and processes to monitor data in a production environment - Assist MIS & Data Analytics team with infrastructure development - Develop ETL/ELT for analytics solutions using Python, Spark, SQL, and Power BI - Produce ad hoc analyses, deep dives, and drill-downs on specific issues, topics, or areas of opportunity (e.G. process improvements)- Support the Senior Data Engineer in preparing reports and presentations to communicate findings to stakeholders - Assist in mentoring and up-skilling peers for advanced analytics - Streamline, enhance and, automate existing products to create capacity for the team to develop a new solution Candidate Requirements/Must Have Skills: - 8- 10+ years of data engineering experience working with cross-functional data teams - 8- 10+ years using Python or other programming languages, package management, dependencies, and deployment - 8- 10+ years using SQL for ETL and data analysis, flexibility on syntax (SQL server, PostgreSQL)- 8- 10+ years of experience with data modeling, data warehousing and database design - 8- 10+ years’ experience designing and building ETL/ELT, data pipelines, or data engineering solutions - Strong Experience with Linux tools and shell scripting Nice-To-Have Skills: - Experience with cloud architecture and security (Azure, AWS, GCP)- Experience and understanding of various ML techniques including NLP - Hands-on experience with Big Data ecosystem tools (e.G. Hadoop, Hive, Spark, BigQuery) and object storage (e.G. blob, MinIO, GCS). - Understanding of Agile and Scrum methodologies and experience working in a Scrum environment (Jira and Confluence)- Experience with Docker, CI/CD tools, Airflow and Kubernetes - French and/or Spanish fluency an asset - Contact center experience as an asset - Experience with telephony data (Avaya, Genesys) and WFM data (Verint, Aspect) an asset