JOB DESCRIPTION
Location: Hybrid (Downtown, Toronto)
Duration: 4 months (Possibility for an extension)
Our client, a leading financial institution in Downtown Toronto is looking for a Data Engineer – Python, SQL, Linux to collaborate with stakeholders to deliver data models to address operational needs. The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada.
Typical Day in role:
- 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
Must-Have Skills:
- 8 to 10+ years of data engineering experience working with cross-functional data teams
- 8 to 10+ years using Python or other programming languages, package management, dependencies, and deployment
- 8 to 10+ years using SQL for ETL and data analysis, flexibility on syntax (SQL server, PostgreSQL)
- 8 to 10+ years of experience with data modeling, data warehousing and database design
- 8 to 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
- Contact center experience
- Experience with telephony data (Avaya, Genesys) and WFM data (Verint, Aspect)
Soft Skills Required:
- Professional development skills
- Strong technical navigation skills to determine data sources, interpret technical documentation, and communicate requests and project requirements to IT partners
- Strong collaboration skills with the ability to translate technical knowledge into business value
- Effective communication skills with the ability to prepare project documentation and presentations for both technical and non-technical audiences
- Advanced problem-solving skills, and ability to navigate an uncertain environment
- Excellent written, presentation, and verbal communication skills to be able to work well with technical peers and business stakeholders at different levels within the organization
- Strong decision-making, forward-thinking and creative problem-solving skills to anticipate and respond quickly to technological/market influences
- Ability to work as part of a team, as well as work independently or with minimal direction
Education:
- University degree in science, computer science, math, statistics, finance, economics, or another quantitative field, or equivalent experience
Finance professional is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, color, religion, national origin, sex, physical or mental disability, or age.