Data Analytics and Operations Engineer

The key to our success is simple; we deliver the highest quality, on time, with passion and commitment, and live every day by a set of great values. We've built a company that fosters long-term careers in an environment of continuous learning, with cutting-edge benefits, tools, and resources. In addition, certifications that endorse our company as a great place to work.

• Monitor and support daily ELT pipelines and reporting processes.
• Design, document, and maintain data warehouse models as source systems evolve.
• Develop and maintain semantic-layer and business intelligence data models.
• Support month-end reporting and recurring business processes.
• Improve and prepare data assets for AI-enabled workflows and automation initiatives.
• Design data transformations to improve data quality, consistency, accessibility, and usability.
• Troubleshoot data issues and support analytics requests across the organization.
• Serve as the primary technical resource for analytics infrastructure and reporting systems.
• Prepare internal metrics, analytics, and leadership reporting.
• Collaborate with stakeholders on data-driven initiatives and continuous improvements.

• 6+ years of professional experience in analytics engineering, data engineering, business intelligence, analytics, or related fields
• Proven experience owning analytics and data infrastructure end-to-end, including the ability to make technical and architectural decisions independently.
• Demonstrated ability to operate with a high degree of autonomy and self-sufficiency, identifying problems, defining solutions, and executing them without requiring constant guidance.
• Strong understanding of data warehousing, dimensional modeling, semantic-layer concepts, and modern analytics architectures.
• Extensive experience designing, building, maintaining, and troubleshooting ELT/ETL pipelines in production environments.
• Advanced SQL and data modeling skills, including experience working with complex transformations and business logic.
• Strong hands-on professional experience with dbt, Amazon Redshift, Amazon Quick Sight, AWS, Python, Docker, Git Hub, and SQL.
• Experience maintaining and evolving existing data platforms, including legacy data cleanup, data reconciliation, and complex financial or business logic.
• Strong problem-solving and troubleshooting skills, with the ability to independently investigate ambiguous data, pipeline, reporting, or infrastructure issues.
• Startup mindset: proactive, adaptable, resourceful, and comfortable working in environments where priorities, systems, and requirements evolve quickly.
• Strong communication, documentation, and stakeholder management skills, including the ability to translate business requirements into scalable technical solutions.
• Advanced English.

• Experience designing or building analytics infrastructure from the ground up.
• Experience with CI/CD workflows for analytics or data engineering systems.
• Experience improving data quality, observability, governance, and reliability across complex data environments.
• Knowledge of data governance practices and experience in healthcare, finance, or other regulated industries.

Assure Soft is a multinational software development and information technology company providing strategic consulting, technology services, and outsourcing business processes. We work to innovate and create quality software with motivated, passionate, and qualified teams that develop in an environment of professional, stable growth and continuous learning.

At Assure Soft, we believe that true innovation is born from diversity-of ideas, experiences, and perspectives. That is why our hiring practices are inclusive and reflect a firm commitment to…