Senior Data Engineer- Python
Hiring Manager: Senior Manager, Data Architecture
Location Address Hybrid (1 day per week at Toronto
Contract Duration: 9 months in total. Possibility of extension: Yes
Business group:
The purpose of this role is to support the Director of Analytics at Scotiabank’s Global Contact Centers in developing advanced analytics (AI / ML) capabilities through data engineering. The primary focus of the role is to work with the Customer Insights & Analytics Team and the Global Data & Analytics Team in building and maintaining data pipelines and assisting the MIS & Reporting team with designing and evolving departmental reporting platforms and infrastructure.
Must-Have Skills:
• 8- 10+ years using python
• 8- 10+ years using SQL for ETL and data analysis, flexibility on syntax (SQL server, PostgreSQL)
• 8- 10+ years of data engineering experience working with cross-functional data teams
• 8- 10+ years of experience with data modelling, 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 the 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, and Airflow and Kubernetes
• French and / or Spanish fluency an asset
• Contact center experience an asset
• Experience with telephony data (Avaya, Genesys) and WFM data (Verint, Aspect) an asset
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 ability to translate technical knowledge into business value
• Effective communication skills with ability to prepare project documentation and presentation for both technical and non-technical audiences
• Advanced problem-solving skills, and able 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.
Best VS. Average Candidate
The best candidate is someone with the must and Nice to have
The best candidate will have solid experience with Python and PostgreSQL, also data modeling and pipeline designing, implementation, SQL, Query skills, Linux shell script skills and cloud experience machine learning and advanced data analysis skills.