Data Operations Specialist - Thornhill, Canada - Wellnessliving

Wellnessliving

Verified Company

Thornhill, Canada

3 weeks ago

Posted by:

Sophia Lee

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Description

Title:
Data
Operations Specialist

Salary:
Based on experience + Vacation + Benefits

Length:
Full-time, permanent

Location:
Thornhill, ON *Hybrid

Reporting Manager:
VP of Business Operations

About Us:

WellnessLiving isn't just our name, it's who we are. We're_ _the_ software company with a heart_, placing people and community at the center of everything we do. Our diverse and inclusive culture provides our people and customers with the support, resources, and tools they need to achieve their goals—professionally and personally. From a bootstrap start-up to the fastest-growing software company for class and appointment-based businesses in North America, our commitment to excellence can be seen in all aspects of our business. Trusted by over 5,000 business owners and 15 million users worldwide, our mission is to empower businesses with a value-driven platform that is reliable, easy to use, and equipped with all the tools and services needed to manage and grow a business.

When you join WellnessLiving, you join a team that is customer-focused, community-centered, and forward-thinking and is continuously improving and innovating.

We celebrate your wins, recognize your strengths, learn together, and inspire each other to reach new heights, offering a variety of benefits to help you lead happier and healthier lives.

About You:

Are you looking to take your career to the next level?

If you're a natural-born problem solver and a team player looking for the opportunity to learn and grow within the SaaS industry, then we want to talk to you.

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Teamwork and Collaboration — Easy to talk to, very approachable, empathetic, patient, puts others at ease, and can work well with others.
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Critical Thinking and Problem-Solving — The ability to analyze, evaluate, and strategize the best solutions when making decisions or faced with challenging situations.
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Strong Work Ethic — Hardworking, dedicated, reliable, and highly motivated with the desire and determination to exceed expectations.
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Natural Leadership Skills — Oversees processes, guides initiatives, holds themselves accountable, listens without judgment, and inspires and nurtures the growth of others to do their best work.
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Entrepreneurial Spirit and Business Mindset — Embraces innovation and continuous improvement, actively seeks out change, and is knowledgeable of current industry trends, practices, and technology.
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Time Management — Uses time efficiently, focuses on top priorities, respects the time of others, and can take ownership of tasks and projects to push them along.

Responsibilities:

Analyze data insights to identify business trends and/or areas for opportunity and communicate identified issues with departmental leaders.
Design, develop, and maintain scalable data pipelines and infrastructure using AWS tools, specifically AWS Athena, AWS Glue, and AWS S3, with a strong emphasis on improving data integrity.
Implement data validation and quality checks to ensure the accuracy, completeness, and consistency of data across different sources and throughout the data processing workflow.
Collaborate with crossfunctional teams to understand data requirements and design optimal solutions for data integrity and reliability.
Work independently to proactively identify datarelated problems, bottlenecks, and performance issues, and provide recommendations for improvement, particularly in terms of data quality and integrity.
Optimize data processing and storage techniques to ensure efficient and costeffective data management while maintaining high standards of data integrity.
Implement data governance practices to ensure data security, privacy, and compliance with relevant regulations, with a strong focus on maintaining data integrity.
Monitor data pipelines and perform troubleshooting and debugging as necessary, paying close attention to data integrity concerns.
Stay up to date with emerging technologies and trends in data engineering, particularly in relation to data integrity and quality, and make recommendations for adopting new tools and techniques.

Skills & Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field.
At least 2+ years of proven experience as a Data Engineer, working with largescale data infrastructure and pipelines.
Strong proficiency in AWS services, particularly AWS Athena, AWS Glue, and AWS S
Solid understanding of ETL processes and data integration techniques.
Experience working with diverse data sources and integrating data from various platforms, such as Salesforce, Zoho, and other systems.
Proficiency in SQL and scripting languages (e.g., Python) for data manipulation and transformation.
Familiarity with data modeling concepts and best practices.
Strong problemsolving skills and ability to work autonomously to identify and resolve datarelated issues.
Excellent communication ski