(Canada) Data Engineer

Job Title: Analytics/Data Engineer

Job Description:

Responsible for the analysis, definition, design, construction, testing, installation, modification, and maintenance of properly engineered information systems, containing software as the major component, to meet agreed business needs.

Responsibilities:

• Design, build and deploy BI solutions (e.g. reporting tools)
• Develop creative new data integration's, modifications to existing software, and/or makes decisions regarding integrating software applications data in accordance with agreed upon specifications.
• Ensure high level of data quality is maintained.
• Gather business requirements, analyze source systems, define underlying data sources and transformation requirements, design data models, and develop metadata for data analysis and visualization.
• Acquire and analyze data and metrics across the enterprise to learn how they can be incorporated into data visualizations and dashboards.
• Translate business analysis and business needs into prototypes concepts of reports and dashboards and contribute to design and visualization best practices.
• Configure and administer data analytics and data visualization enterprise software platform.
• Have thorough understanding of data integration techniques and guide developers on efficient ETL design and development.
• Develop and update technical documentation.
• Provide trouble-shooting analysis & resolution in a timely manner.
• Proactively analyze and bring forth ideas for continuous improvement.
• Provides status updates for own scope of work within projects.
• Participates in internal team and status meetings.
• Develops software using disciplined software development processes, adhering to team/company standards and software best practice guidelines, and corporate policies.

Required Skills:

• 3+ years of experience
• Worked on data engineering projects, data modelling, implementation, and development.
• Worked on data warehouses, hands-on engineering development design, build and deploy data architectures and pipelines.
• Experienced in SQL and data structures.
• Worked on development EtL process.
• Experience in performance improvement on data pipelines and a good understanding of Volume, Variety, Veracity, Velocity, and Value concepts in Big Data
• Python and SQL experience
• Expert in data curation, cleansing, and wrangling
• Worked in integration with Tableau/Power BI
• Worked on DBT Github Actions/GIT

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The pay rate that the employer in good faith reasonably expects to pay for this position is $43-48/hr CAD.

Our benefits include medical, dental, vision and retirement benefits.

Applications will be accepted on an ongoing basis.

Tundra Technical Solutions (the operator of this Talent Community) is a global leader of contingent talent services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.