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Senior Data Engineer

3 months ago

Toronto ON, Canada Akkodis Full time

Position:- Data engineer level 5 with strong python skills as a Data Engineer

Location:- Toronto, ON

Job 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, PostgreSQL)

• 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

• 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 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 team to develop new solution