Overview
Senior Data Engineer Jobs in Toronto – Ontario at Akkodis
Title: Senior Data Engineer
Company: Akkodis
Location: Toronto – Ontario
Category: IT/Tech, Software Development
Position:
– Data engineer level 5 with strong python skills as a Data Engineer
Location:
– Toronto, ONJob Type:
– Contract 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, Postgre
SQL)
• 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, Big Query) 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
• 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.
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 structure 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 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 rep…
