Digital Data Engineer - Jobs in Toronto

Job Description

Our client is looking for:

• Work with business teams to understand requirements, and translate them into technical needs

• Gather/organize largeamp; complex data assets, and perform relevant analysis
• Ensure the quality of the data in coordination with Data Analysts and Data Scientists (peer validation)
• Propose and implement relevant data models for each business case
• Create data models and optimize queries performance
• Communicate results and findings in a structured way
• Partner with Product Owner and Data Analysts to prioritize the pipeline implementation plan
• Partner with Data Analysts and Data scientists to design pipelines relevant for business requirements
• Leverage existing or create new “standard data pipelines” within the company to bring value through business use cases
• Ensure best practices in data manipulation are enforced end-to-end
• Actively contribute to Data governance community
• Remains up to date on company’s standards, industry practices and emerging technologies

RequirementsKey Functional Requirementsamp; Qualifications:

• Experience working with a variety of cross-functional teams
• Good understanding of agile/scrum development processes and concepts
• Able to work in a fast-paced, constantly evolving environment and manage multiple priorities
• Pragmatic and capable of solving complex issues
• Service-oriented, flexible team player
• Attention to detailamp; technical intuition
• Excellent written, verbal, and interpersonal skills for executive level communication and collaboration
• Fluent in English (Other languages a plus)

Key Technical Requirementsamp; Qualifications:

• Bachelor’s Degree or equivalent in in Computer Science, Engineering, or relevant field
• Experience with AWS cloud services (Azureamp; GCP a plus)
• Good knowledge of SQL and relational databases technologies/concepts
• Experience working with data models and query tuning
• Experience in Data warehousing solutions (Snowflake a plus)
• Experience in Integration Services (IICS, Tibco a plus)
• Working knowledge of scripting languages (Python, R a plus)
• Familiarity with Source Code Management Tools (GitHub a plus)
• Familiarity with Visualization Tools (PowerBI, Tableau a plus)
• Familiarity with Project Management Tools (JIRA, Confluence a plus)
• Familiarity with Service Management Tools (Service Now a plus)
• Experience working in life sciences/pharmaceutical industry is a plus
• Relevant cloud certifications (AWS, Azure, Snowflake, IICS) are a plus
• Experience on working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus
• Mentoring and/or technology evangelism/advocacy experience

Additions For Data Engineer - Database

• Strong experience in automation tools and methodologies specifically using Gitlab, Github action, Terraform, Ansible
• Experience with programming languages such as Python, JSON, YAML, Shell Scripting.
• Experience with backup system like Netbackupamp; CommVault
• Good knowledge of ServiceNow and monitoring tool such as Splunk, BPPM

Additions for Data Engineer – RWE

• Experience with Real World Data (e,g, EHR, Claims) and standard data models (e,g, OMOP, FHIR)
• Experience using frameworks to create pipelines (e.g. Apache Airflow, Kedro)