Data Operations Engineer

April 12

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Hyland

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Hyland is a company that provides a collaborative community platform for its customers and partners, offering access to resources such as products, solutions, and updates. The platform enables users to share feedback, ask questions, and connect with each other, fostering operational knowledge and organizational value. Hyland Community aims to enhance user experience by facilitating interaction between experts and community members.

Capture • Content Management • Business Process Automation • Case Management • Customer Communications Management

1001 - 5000 employees

🤝 B2B

☁️ SaaS

🏢 Enterprise

📋 Description

• Build and maintain data pipelines that prepare clean structured data for analysis. • Deliver components of analytical and operational data products contributing to solutions from ingestion through production deployment. • Apply established practices for data observability, quality checks, metadata tracking, and lineage documentation within workflows. • Work with other teams to help ensure proper data access, quality, and usability for reporting and analytics. • Develop data workflows that enable downstream ML/AI capabilities, ensuring datasets are well-prepared and versioned. • Observe and provide input on new tools and techniques evaluated by senior team members. • Implement solutions that align with internal data security standards, compliance policies, and governance frameworks. • Engage in team conversations about data engineering trends, tools, and process improvements. • Contribute to team knowledge base through documenting work learnings and lessons from projects. • Actively seek feedback from senior engineers and contribute to team success through collaboration and support. • Comply with all corporate and departmental privacy and data security policies and practices, including but not limited to, Hyland’s Information Systems Security Policy.

🎯 Requirements

• Bachelor's degree or equivalent experience in Computer Science, Data Engineering, or related field. • Experience with dbt and cloud-based data orchestration tools (e.g., Azure Data Factory, Fivetran). • Experience in data analysis tools like Excel SQL or statistical software packages. • Good oral and written communications skills that demonstrate a professional demeanor and the ability to interact with others with discretion and tact. • Good organizational multi-tasking and time management skills. • Good collaboration skills applied successfully within team as well as with other areas. • Good Microsoft Excel skills. • Fluency in English language (reading, written and spoken). • Good facilitation and project management skills. • Good interpersonal skills: able to maintain solid rapport with team members as well as maintain professionalism with those outside of department. • Good data gathering, interviewing and analytical/problem solving skills. • Good critical thinking and problem-solving skills. • Good in Python, SQL, and GitHub-based development workflows. • Good skills in cloud platforms (e.g., Fabric, AWS, Azure, Snowflake). • Ability to use original thinking to translate goals into the implementation of new ideas and design solutions. • Self-motivated with the ability to manage projects to completion with oversight. • Good attention to detail. • Demonstrated ability to influence, motivate, and mobilize team members and business partners. • Good ability to develop and use engaging, informative, and compelling presentation methodologies. • Good ability to handle sensitive information with discretion and tact. • Good ability to establish rapport and gain the trust of others; effective at gaining consensus. • Ability to work independently and in a team environment. • Good knowledge of systems administration. • Good data analysis knowledge using tools; Excel SQL or statistical software packages. • Good knowledge of Microsoft Operating systems and products. • Up to 0% travel time required.