Data Engineer

3 days ago

Vancouver, British Columbia, Canada Randstad Canada Full time
Are you an experienced Data Engineer in search of your next contract opportunity? Our high-profile client is seeking to hire a Data Engineer to join their talented team on a 6-month contract with a strong probability of extension. Apply for this amazing opportunity if this sounds like a good fit for you

Advantages
What's in it for you
As a consultant with our client, you'll receive:
- Highly competitive market hourly rates
- A 6 month contract with a strong probability of extension
- Remote interview process

Responsibilities

• Lead development and maintenance of data
science and analytics processes, procedures, and
policies

• Lead identification, design, and implementation
of integration, modelling, and orchestration of
complex data using relevant coding language(s)

• Act as subject matter expert for data engineering
needs

• Create and maintain relevant documentation and
conduct knowledge transfer activities
Advanced Data Modeling: Build and optimize complex data models to meet the needs of business users, enhancing their ability to make informed decisions.
Data Analysis and Stakeholder Engagement: Utilize advanced analytical tools and frameworks to interpret and present data and models, effectively engaging and influencing stakeholders.
Reporting and Support: Provide ongoing support for daily reporting and data modeling tasks, ensuring timely and accurate delivery of information to support business decisions.
Production Support and Troubleshooting: Address and resolve production issues related to application functionality and integrations, particularly post-implementation, to ensure continuous system performance.
Continuous Improvement: Monitor system performance and user feedback to identify opportunities for improvement, and recommend enhancements to optimize business processes and system functionality.

Qualifications
Experience: 6-9 years of experience with Oracle/SQL server (Required)
Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field. Advanced degrees or certifications in database management or related specialties are advantageous.
Exceptional Communication Skills: Demonstrated excellence in both oral and written communication, capable of effectively articulating technical concepts to diverse audiences.
Solid Experience with Modern Data Platforms: Hands-on experience with cloud-native solutions, DataBricks, and Snowflake for scalable data processing and machine learning operations.
Expertise in Scripting and Data Analysis: Strong proficiency in scripting for data analysis and automation, with a deep understanding of SQL and experience in Python for data operations.
Advanced Data Management Experience: Minimum of 3 years proven experience in designing, managing, and optimizing data warehouses and complex ETL workflows, preferably with experience in modern ETL tools and practices.
Analytical Acumen: Robust analytical skills to derive insights from data, support Business Analysts, and contribute to data-driven decision-making processes.
Problem-Solving Expertise: Advanced problem-solving abilities with a strong foundation in mathematical principles applicable to data modeling and machine learning.
Backend Development Skills: Experience in backend development, particularly with PL/SQL, and an openness to adopting new programming paradigms.
Cloud Proficiency: Strong working knowledge of cloud platforms such as AWS, Azure, and GCP, with a focus on leveraging cloud services for data solutions.
Big Data Expertise: Extensive experience with big data technologies and methodologies, skilled in handling large-scale data manipulation and analysis.
ML/Ops and DevOps Integration: Familiarity with modern operational practices including ML/Ops and DevOps, with a track record of improving pipeline efficiency and deployment.
Industry Experience: Retail industry experience preferred, with fashion retail experience highly desirable.
Data Architecture Insight: Knowledge of data architecture principles, especially in environments using Oracle Retail Management Systems or similar platforms, is a plus.

Summary
If you are a Data Engineer and the prospect of joining a dedicated team intrigues you, then this role with our high-profile client could be the perfect opportunity for you.

Apply below or reach out to your Randstad representative for more information.

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.

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