Senior Data Engineer

7 days ago

Toronto, Ontario, 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:

  • years of data engineering experience working with cross-functional data teams
  • years using python or other programming languages , package management, dependencies, and deployment
  • years using SQL for ETL and data analysis, flexibility on syntax (SQL server, PostgreSQL)
  • years of experience with data modelling, data warehousing and database design
  • 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

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